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# 1.6. 最近邻
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校验者:
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[@DataMonk2017](https://github.com/DataMonk2017)
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[@Veyron C](https://github.com/caopeirui)
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[@舞空](https://github.com/pan8664716)
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[@Loopy](https://github.com/loopyme)
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[@qinhanmin2014](https://github.com/qinhanmin2014)
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翻译者:
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[@那伊抹微笑](https://github.com/wangyangting)
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[`sklearn.neighbors`](https://scikit-learn.org/stable/modules/classes.html#module-sklearn.neighbors) 提供了 neighbors-based (基于邻居的) 无监督学习以及监督学习方法的功能。 无监督的最近邻是许多其它学习方法的基础，尤其是 manifold learning (流形学习) 和 spectral clustering (谱聚类)。 neighbors-based (基于邻居的) 监督学习分为两种： [classification](#162-最近邻分类) （分类）针对的是具有离散标签的数据，[regression](#163-最近邻回归) （回归）针对的是具有连续标签的数据。
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最近邻方法背后的原理是从训练样本中找到与新点在距离上最近的预定数量的几个点，然后从这些点中预测标签。 这些点的数量可以是用户自定义的常量（K-最近邻学习）， 也可以根据不同的点的局部密度（基于半径的最近邻学习）确定。距离通常可以通过任何度量来衡量： standard Euclidean distance（标准欧式距离）是最常见的选择。Neighbors-based（基于邻居的）方法被称为 *非泛化* 机器学习方法， 因为它们只是简单地”记住”了其所有的训练数据（可能转换为一个快速索引结构，如 [Ball Tree](#1643-ball-树) 或 [KD Tree](#1642-k-d-树)）。
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尽管它简单，但最近邻算法已经成功地适用于很多的分类和回归问题，例如手写数字或卫星图像的场景。 作为一个 non-parametric（非参数化）方法，它经常成功地应用于决策边界非常不规则的分类情景下。
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尽管它简单，但最近邻算法已经成功地适用于很多的分类和回归问题，例如手写数字或卫星图像的场景。 作为一个 **non-parametric（非参数化）** 方法，它经常成功地应用于决策边界非常不规则的分类情景下。
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[`sklearn.neighbors`](https://scikit-learn.org/stable/modules/classes.html#module-sklearn.neighbors) 可以处理 Numpy 数组或 `scipy.sparse` 矩阵作为其输入。 对于密集矩阵，大多数可能的距离度量都是支持的。对于稀疏矩阵，支持搜索任意的 Minkowski 度量。
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@@ -58,35 +58,9 @@
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适用数据范围: 数值型和标称型
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```
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### KNN 算法设计
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* 对位置类别属性的数据集中的每个点一次执行以下操作：
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1. 计算一致类别数据集中点与当前带点之间的距离；
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2. 按照距离递增次序排序
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3. 选取与当前点距离最小的k个点
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4. 确定前k个点所在的类别出现的频率
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5. 返回前k个点出现频率最高的类别作为当前点的预测类别
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* 算法的伪代码如下
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```
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def classify(inX,dataset,labels,k):
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dataSetSize = dataSet.shap[0];
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diffMat = tile(inX,dataSetSize,1)) - dataSet
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sqDiffMat = difMat**2
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sqDistances = sqDifMat.sum(axis = 1)
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distaces = sqDistances**0.5
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sortedDistaIndicies = distances.argsort()
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classCount={}
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for i in range (k):
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voteIlabel = labels[sortedDistIndicies[i]]
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classCount[voteIlabel] = classCount.get(voteIlabel,0)+1
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sortedClassCount = sorted(classCount.iteritems(),
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key=operator.itermgetter(1),reverse=True)
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return sortedClassCount[0][0]
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```
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## 4 KNN 项目案例
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### 项目案例1: 优化约会网站的配对效果
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## 4.1 项目案例1: 优化约会网站的配对效果
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* [源码](../源代码/ml/2.KNN/kNN.py)
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@@ -119,7 +93,7 @@ def classify(inX,dataset,labels,k):
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> 收集数据: 提供文本文件
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海伦把这些约会对象的数据存放在文本文件 [datingTestSet2.txt](/data/2.KNN/datingTestSet2.txt) 中，总共有 1000 行。海伦约会的对象主要包含以下 3 种特征:
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海伦把这些约会对象的数据存放在文本文件 [datingTestSet2.txt]() 中，总共有 1000 行。海伦约会的对象主要包含以下 3 种特征:
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* 每年获得的飞行常客里程数
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* 玩视频游戏所耗时间百分比
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@@ -199,7 +173,7 @@ $$\sqrt{(0-67)^2 + (20000-32000)^2 + (1.1-0.1)^2 }$$
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归一化特征值，消除特征之间量级不同导致的影响
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**归一化定义: ** 我是这样认为的，归一化就是要把你需要处理的数据经过处理后（通过某种算法）限制在你需要的一定范围内。首先归一化是为了后面数据处理的方便，其次是保正程序运行时收敛加快。 方法有如下:
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**归一化定义** 我是这样认为的，归一化就是要把你需要处理的数据经过处理后（通过某种算法）限制在你需要的一定范围内。首先归一化是为了后面数据处理的方便，其次是保正程序运行时收敛加快。 方法有如下:
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1) 线性函数转换，表达式如下:
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@@ -356,9 +330,9 @@ You will probably like this person: in small doses
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### 项目案例2: 手写数字识别系统
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## 4.2 项目案例2: 手写数字识别系统
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[完整代码地址](/src/py2.x/ml/2.KNN/kNN.py): <https://github.com/apachecn/AiLearning/blob/master/src/py2.x/ml/2.KNN/kNN.py>
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[完整代码地址](/src/py2.x/ml/2.KNN/kNN.py)
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#### 项目概述
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@@ -453,7 +427,7 @@ def handwritingClassTest():
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> 使用算法: 本例没有完成此步骤，若你感兴趣可以构建完整的应用程序，从图像中提取数字，并完成数字识别，美国的邮件分拣系统就是一个实际运行的类似系统。
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## KNN 小结
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## 5 KNN 小结
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KNN 是什么？定义: 监督学习？ 非监督学习？
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@@ -461,129 +435,84 @@ KNN 是一个简单的无显示学习过程，非泛化学习的监督学习模
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### 基本原理
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简单来说: 通过距离度量来计算查询点（query point）与每个训练数据点的距离，然后选出与查询点（query point）相近的K个最邻点（K nearest neighbors），使用分类决策来选出对应的标签来作为该查询点的标签。
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* 简单来说: 通过距离度量来计算查询点（query point）与每个训练数据点的距离，然后选出与查询点（query point）相近的K个最邻点（K nearest neighbors），使用分类决策来选出对应的标签来作为该查询点的标签。
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### KNN 三要素
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>K, K的取值
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>>>>对查询点标签影响显著（效果拔群）。k值小的时候 近似误差小，估计误差大。 k值大 近似误差大，估计误差小。
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>>>>如果选择较小的 k 值，就相当于用较小的邻域中的训练实例进行预测，“学习”的近似误差（approximation error）会减小，只有与输入实例较近的（相似的）训练实例才会对预测结果起作用。但缺点是“学习”的估计误差（estimation error）会增大，预测结果会对近邻的实例点非常敏感。如果邻近的实例点恰巧是噪声，预测就会出错。换句话说，k 值的减小就意味着整体模型变得复杂，容易发生过拟合。
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* K, K的取值
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* 对查询点标签影响显著（效果拔群）。k值小的时候 近似误差小，估计误差大。 k值大 近似误差大，估计误差小。
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* 如果选择较小的 k 值，就相当于用较小的邻域中的训练实例进行预测，“学习”的近似误差（approximation error）会减小，只有与输入实例较近的（相似的）训练实例才会对预测结果起作用。但缺点是“学习”的估计误差（estimation error）会增大，预测结果会对近邻的实例点非常敏感。如果邻近的实例点恰巧是噪声，预测就会出错。换句话说，k 值的减小就意味着整体模型变得复杂，容易发生过拟合。
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* 如果选择较大的 k 值，就相当于用较大的邻域中的训练实例进行预测。其优点是可以减少学习的估计误差。但缺点是学习的近似误差会增大。这时与输入实例较远的（不相似的）训练实例也会对预测起作用，使预测发生错误。 k 值的增大就意味着整体的模型变得简单。
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* 太大太小都不太好，可以用交叉验证（cross validation）来选取适合的k值。
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* 近似误差和估计误差，请看这里: https://www.zhihu.com/question/60793482
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>>>>如果选择较大的 k 值，就相当于用较大的邻域中的训练实例进行预测。其优点是可以减少学习的估计误差。但缺点是学习的近似误差会增大。这时与输入实例较远的（不相似的）训练实例也会对预测起作用，使预测发生错误。 k 值的增大就意味着整体的模型变得简单。
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* 距离度量 Metric/Distance Measure
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* 距离度量 通常为 欧式距离（Euclidean distance），还可以是 Minkowski 距离 或者 曼哈顿距离。也可以是 地理空间中的一些距离公式。（更多细节可以参看 sklearn 中 valid_metric 部分）
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* 分类决策 （decision rule）
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* 分类决策 在 分类问题中 通常为通过少数服从多数 来选取票数最多的标签，在回归问题中通常为 K个最邻点的标签的平均值。
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### 算法:
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* sklearn 上有三种
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* Brute Force 暴力计算/线性扫描
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* KD Tree 使用二叉树根据数据维度来平分参数空间。
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* Ball Tree 使用一系列的超球体来平分训练数据集。
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* 树结构的算法都有建树和查询两个过程。Brute Force 没有建树的过程。
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* 算法特点:
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>>>>太大太小都不太好，可以用交叉验证（cross validation）来选取适合的k值。
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* 优点: High Accuracy， No Assumption on data， not sensitive to outliers
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* 缺点: 时间和空间复杂度 高
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* 适用范围: continuous values and nominal values
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* 相似同源产物:
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* radius neighbors 根据制定的半径来找寻邻点
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* 影响算法因素:
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* N 数据集样本数量(number of samples)， D 数据维度 (number of features)
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* 总消耗:
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* Brute Force: O[DN^2]
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* 此处考虑的是最蠢的方法: 把所有训练的点之间的距离都算一遍。当然有更快的实现方式, 比如 O(ND + kN) 和 O(NDK) , 最快的是 O[DN] 。感兴趣的可以阅读这个链接: [k-NN computational complexity](https://stats.stackexchange.com/questions/219655/k-nn-computational-complexity)
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* KD Tree: O[DN log(N)]
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* Ball Tree: O[DN log(N)] 跟 KD Tree 处于相同的数量级，虽然建树时间会比 KD Tree 久一点，但是在高结构的数据，甚至是高纬度的数据中，查询速度有很大的提升。
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* 查询所需消耗:
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* Brute Force: O[DN]
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* KD Tree: 当维度比较小的时候， 比如 D<20, O[Dlog(N)] 。相反，将会趋向于 O[DN]
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* Ball Tree: O[Dlog(N)]
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* 当数据集比较小的时候，比如 N<30的时候，Brute Force 更有优势。
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* Intrinsic Dimensionality(本征维数) 和 Sparsity（稀疏度）
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* 数据的 intrinsic dimensionality 是指数据所在的流形的维数 d < D , 在参数空间可以是线性或非线性的。稀疏度指的是数据填充参数空间的程度(这与“稀疏”矩阵中使用的概念不同, 数据矩阵可能没有零项, 但是从这个意义上来讲,它的结构 仍然是 "稀疏" 的)。
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* Brute Force 的查询时间不受影响。
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* 对于 KD Tree 和 Ball Tree的查询时间, 较小本征维数且更稀疏的数据集的查询时间更快。KD Tree 的改善由于通过坐标轴来平分参数空间的自身特性 没有Ball Tree 显著。
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* k的取值 (k 个邻点)
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* Brute Force 的查询时间基本不受影响。
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* 但是对于 KD Tree 和 Ball Tree , k越大，查询时间越慢。
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* k 在N的占比较大的时候，使用 Brute Force 比较好。
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* Number of Query Points （查询点数量， 即测试数据的数量）
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* 查询点较少的时候用Brute Force。查询点较多的时候可以使用树结构算法。
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* 关于 sklearn 中模型的一些额外干货:
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* 如果KD Tree，Ball Tree 和Brute Force 应用场景傻傻分不清楚，可以直接使用 含有algorithm='auto'的模组。 algorithm='auto' 自动为您选择最优算法。
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* 有 regressor 和 classifier 可以来选择。
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||||
* metric/distance measure 可以选择。 另外距离 可以通过weight 来加权。
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* leaf size 对KD Tree 和 Ball Tree 的影响
|
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* 建树时间: leaf size 比较大的时候，建树时间也就快点。
|
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* 查询时间: leaf size 太大太小都不太好。如果leaf size 趋向于 N（训练数据的样本数量），算法其实就是 brute force了。如果leaf size 太小了，趋向于1，那查询的时候 遍历树的时间就会大大增加。leaf size 建议的数值是 30，也就是默认值。
|
||||
* 内存: leaf size 变大，存树结构的内存变小。
|
||||
|
||||
>>>>近似误差和估计误差，请看这里: https://www.zhihu.com/question/60793482
|
||||
|
||||
>距离度量 Metric/Distance Measure
|
||||
|
||||
>>>>距离度量 通常为 欧式距离（Euclidean distance），还可以是 Minkowski 距离 或者 曼哈顿距离。也可以是 地理空间中的一些距离公式。（更多细节可以参看 sklearn 中 valid_metric 部分）
|
||||
* Nearest Centroid Classifier
|
||||
* 分类决策是哪个标签的质心与测试点最近，就选哪个标签。
|
||||
* 该模型假设在所有维度中方差相同。 是一个很好的base line。
|
||||
|
||||
>分类决策 （decision rule）
|
||||
|
||||
>>>>分类决策 在 分类问题中 通常为通过少数服从多数 来选取票数最多的标签，在回归问题中通常为 K个最邻点的标签的平均值。
|
||||
|
||||
### 算法: （sklearn 上有三种）
|
||||
|
||||
>Brute Force 暴力计算/线性扫描
|
||||
|
||||
>KD Tree 使用二叉树根据数据维度来平分参数空间。
|
||||
|
||||
>Ball Tree 使用一系列的超球体来平分训练数据集。
|
||||
|
||||
>树结构的算法都有建树和查询两个过程。Brute Force 没有建树的过程。
|
||||
|
||||
>算法特点:
|
||||
|
||||
>>>>优点: High Accuracy， No Assumption on data， not sensitive to outliers
|
||||
|
||||
>>>>缺点: 时间和空间复杂度 高
|
||||
|
||||
>>>>适用范围: continuous values and nominal values
|
||||
|
||||
>相似同源产物:
|
||||
|
||||
>>>>radius neighbors 根据制定的半径来找寻邻点
|
||||
|
||||
>影响算法因素:
|
||||
|
||||
>>>>N 数据集样本数量(number of samples)， D 数据维度 (number of features)
|
||||
|
||||
>总消耗:
|
||||
|
||||
>>>>Brute Force: O[DN^2]
|
||||
|
||||
>>>>此处考虑的是最蠢的方法: 把所有训练的点之间的距离都算一遍。当然有更快的实现方式, 比如 O(ND + kN) 和 O(NDK) , 最快的是 O[DN] 。感兴趣的可以阅读这个链接: [k-NN computational complexity](https://stats.stackexchange.com/questions/219655/k-nn-computational-complexity)
|
||||
|
||||
>>>>KD Tree: O[DN log(N)]
|
||||
|
||||
>>>>Ball Tree: O[DN log(N)] 跟 KD Tree 处于相同的数量级，虽然建树时间会比 KD Tree 久一点，但是在高结构的数据，甚至是高纬度的数据中，查询速度有很大的提升。
|
||||
|
||||
>查询所需消耗:
|
||||
|
||||
>>>>Brute Force: O[DN]
|
||||
|
||||
>>>>KD Tree: 当维度比较小的时候， 比如 D<20, O[Dlog(N)] 。相反，将会趋向于 O[DN]
|
||||
|
||||
>>>>Ball Tree: O[Dlog(N)]
|
||||
|
||||
>>>>当数据集比较小的时候，比如 N<30的时候，Brute Force 更有优势。
|
||||
|
||||
>Intrinsic Dimensionality(本征维数) 和 Sparsity（稀疏度）
|
||||
|
||||
>>>>数据的 intrinsic dimensionality 是指数据所在的流形的维数 d < D , 在参数空间可以是线性或非线性的。稀疏度指的是数据填充参数空间的程度(这与“稀疏”矩阵中使用的概念不同, 数据矩阵可能没有零项, 但是从这个意义上来讲,它的结构 仍然是 "稀疏" 的)。
|
||||
|
||||
>>>>Brute Force 的查询时间不受影响。
|
||||
|
||||
>>>>对于 KD Tree 和 Ball Tree的查询时间, 较小本征维数且更稀疏的数据集的查询时间更快。KD Tree 的改善由于通过坐标轴来平分参数空间的自身特性 没有Ball Tree 显著。
|
||||
|
||||
>k的取值 (k 个邻点)
|
||||
|
||||
>>>>Brute Force 的查询时间基本不受影响。
|
||||
|
||||
>>>>但是对于 KD Tree 和 Ball Tree , k越大，查询时间越慢。
|
||||
|
||||
>>>>k 在N的占比较大的时候，使用 Brute Force 比较好。
|
||||
|
||||
>Number of Query Points （查询点数量， 即测试数据的数量）
|
||||
|
||||
>>>>查询点较少的时候用Brute Force。查询点较多的时候可以使用树结构算法。
|
||||
|
||||
>关于 sklearn 中模型的一些额外干货:
|
||||
|
||||
>>>>如果KD Tree，Ball Tree 和Brute Force 应用场景傻傻分不清楚，可以直接使用 含有algorithm='auto'的模组。 algorithm='auto' 自动为您选择最优算法。
|
||||
>>>>有 regressor 和 classifier 可以来选择。
|
||||
|
||||
>>>>metric/distance measure 可以选择。 另外距离 可以通过weight 来加权。
|
||||
|
||||
>leaf size 对KD Tree 和 Ball Tree 的影响
|
||||
|
||||
>>>>建树时间: leaf size 比较大的时候，建树时间也就快点。
|
||||
|
||||
>>>>查询时间: leaf size 太大太小都不太好。如果leaf size 趋向于 N（训练数据的样本数量），算法其实就是 brute force了。如果leaf size 太小了，趋向于1，那查询的时候 遍历树的时间就会大大增加。leaf size 建议的数值是 30，也就是默认值。
|
||||
|
||||
>>>>内存: leaf size 变大，存树结构的内存变小。
|
||||
|
||||
>Nearest Centroid Classifier
|
||||
|
||||
>>>>分类决策是哪个标签的质心与测试点最近，就选哪个标签。
|
||||
|
||||
>>>>该模型假设在所有维度中方差相同。 是一个很好的base line。
|
||||
|
||||
>进阶版: Nearest Shrunken Centroid
|
||||
|
||||
>>>>可以通过shrink_threshold来设置。
|
||||
|
||||
>>>>作用: 可以移除某些影响分类的特征，例如移除噪音特征的影响
|
||||
|
||||
|
||||
|
||||
|
||||
* * *
|
||||
|
||||
* **作者: [羊三](http://cwiki.apachecn.org/display/~xuxin) [小瑶](http://cwiki.apachecn.org/display/~chenyao)**
|
||||
* [GitHub地址](https://github.com/apachecn/AiLearning): <https://github.com/apachecn/AiLearning>
|
||||
* **版权声明: 欢迎转载学习 => 请标注信息来源于 [ApacheCN](http://www.apachecn.org/)**
|
||||
* 进阶版: Nearest Shrunken Centroid
|
||||
* 可以通过shrink_threshold来设置。
|
||||
* 作用: 可以移除某些影响分类的特征，例如移除噪音特征的影响
|
||||
@@ -1,6 +1,5 @@
|
||||
# 第3章 决策树
|
||||
|
||||
|
||||
## 1 决策树 概述
|
||||
|
||||
`决策树（Decision Tree）算法是一种基本的分类与回归方法，是最经常使用的数据挖掘算法之一。我们这章节只讨论用于分类的决策树。`
|
||||
|
||||
1000
机器学习/殷康龙/机器学习实战1源代码/2.KNN/datingTestSet2.txt
Normal file
1000
机器学习/殷康龙/机器学习实战1源代码/2.KNN/datingTestSet2.txt
Normal file
File diff suppressed because it is too large
Load Diff
@@ -241,7 +241,7 @@ def datingClassTest():
|
||||
# 设置测试数据的的一个比例（训练数据集比例=1-hoRatio）
|
||||
hoRatio = 0.1 # 测试范围,一部分测试一部分作为样本
|
||||
# 从文件中加载数据
|
||||
datingDataMat, datingLabels = file2matrix("data/2.KNN/datingTestSet2.txt") # load data setfrom file
|
||||
datingDataMat, datingLabels = file2matrix("datingTestSet2.txt") # load data setfrom file
|
||||
# 归一化数据
|
||||
normMat, ranges, minVals = autoNorm(datingDataMat)
|
||||
# m 表示数据的行数，即矩阵的第一维
|
||||
@@ -291,7 +291,7 @@ def handwritingClassTest():
|
||||
"""
|
||||
# 1. 导入数据
|
||||
hwLabels = []
|
||||
trainingFileList = os.listdir("data/2.KNN/trainingDigits") # load the training set
|
||||
trainingFileList = os.listdir("trainingDigits") # load the training set
|
||||
m = len(trainingFileList)
|
||||
trainingMat = zeros((m, 1024))
|
||||
# hwLabels存储0～9对应的index位置， trainingMat存放的每个位置对应的图片向量
|
||||
@@ -301,17 +301,17 @@ def handwritingClassTest():
|
||||
classNumStr = int(fileStr.split('_')[0])
|
||||
hwLabels.append(classNumStr)
|
||||
# 将 32*32的矩阵->1*1024的矩阵
|
||||
trainingMat[i] = img2vector('data/2.KNN/trainingDigits/%s' % fileNameStr)
|
||||
trainingMat[i] = img2vector('trainingDigits/%s' % fileNameStr)
|
||||
|
||||
# 2. 导入测试数据
|
||||
testFileList = os.listdir('data/2.KNN/testDigits') # iterate through the test set
|
||||
testFileList = os.listdir('testDigits') # iterate through the test set
|
||||
errorCount = 0
|
||||
mTest = len(testFileList)
|
||||
for i in range(mTest):
|
||||
fileNameStr = testFileList[i]
|
||||
fileStr = fileNameStr.split('.')[0] # take off .txt
|
||||
classNumStr = int(fileStr.split('_')[0])
|
||||
vectorUnderTest = img2vector('data/2.KNN/testDigits/%s' % fileNameStr)
|
||||
vectorUnderTest = img2vector('testDigits/%s' % fileNameStr)
|
||||
classifierResult = classify0(vectorUnderTest, trainingMat, hwLabels, 3)
|
||||
print("the classifier came back with: %d, the real answer is: %d" % (classifierResult, classNumStr))
|
||||
errorCount += classifierResult != classNumStr
|
||||
@@ -322,6 +322,4 @@ def handwritingClassTest():
|
||||
if __name__ == '__main__':
|
||||
# test1()
|
||||
# datingClassTest()
|
||||
handwritingClassTest()
|
||||
|
||||
# %%
|
||||
handwritingClassTest()
|
||||
@@ -1,69 +0,0 @@
|
||||
#!/usr/bin/python
|
||||
# -*- coding: UTF-8 -*-
|
||||
|
||||
"""
|
||||
Created on 2017-06-28
|
||||
Updated on 2017-06-28
|
||||
KNN: k近邻算法
|
||||
Author: 小瑶
|
||||
GitHub: https://github.com/apachecn/AiLearning
|
||||
"""
|
||||
print(__doc__)
|
||||
|
||||
import numpy as np
|
||||
import matplotlib.pyplot as plt
|
||||
from numpy import *
|
||||
from matplotlib.colors import ListedColormap
|
||||
from sklearn import neighbors, datasets
|
||||
|
||||
n_neighbors = 3
|
||||
|
||||
# 导入一些要玩的数据
|
||||
iris = datasets.load_iris()
|
||||
X = iris.data[:, :2] # 我们只采用前两个feature. 我们可以使用二维数据集避免这个丑陋的切片
|
||||
y = iris.target
|
||||
|
||||
# print 'X=', type(X), X
|
||||
# print 'y=', type(y), y
|
||||
|
||||
# X = array([[-1.0, -1.1], [-1.0, -1.0], [0, 0], [1.0, 1.1], [2.0, 2.0], [2.0, 2.1]])
|
||||
# y = array([0, 0, 0, 1, 1, 1])
|
||||
|
||||
# print 'X=', type(X), X
|
||||
# print 'y=', type(y), y
|
||||
|
||||
h = .02 # 网格中的步长
|
||||
|
||||
# 创建彩色的图
|
||||
cmap_light = ListedColormap(['#FFAAAA', '#AAFFAA', '#AAAAFF'])
|
||||
cmap_bold = ListedColormap(['#FF0000', '#00FF00', '#0000FF'])
|
||||
|
||||
# cmap_light = ListedColormap(['#FFAAAA', '#AAFFAA'])
|
||||
# cmap_bold = ListedColormap(['#FF0000', '#00FF00'])
|
||||
|
||||
for weights in ['uniform', 'distance']:
|
||||
# 我们创建了一个knn分类器的实例，并拟合数据。
|
||||
clf = neighbors.KNeighborsClassifier(n_neighbors, weights=weights)
|
||||
clf.fit(X, y)
|
||||
|
||||
# 绘制决策边界。为此，我们将为每个分配一个颜色
|
||||
# 来绘制网格中的点 [x_min, x_max]x[y_min, y_max].
|
||||
x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1
|
||||
y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1
|
||||
xx, yy = np.meshgrid(np.arange(x_min, x_max, h),
|
||||
np.arange(y_min, y_max, h))
|
||||
Z = clf.predict(np.c_[xx.ravel(), yy.ravel()])
|
||||
|
||||
# 将结果放入一个彩色图中
|
||||
Z = Z.reshape(xx.shape)
|
||||
plt.figure()
|
||||
plt.pcolormesh(xx, yy, Z, cmap=cmap_light)
|
||||
|
||||
# 绘制训练点
|
||||
plt.scatter(X[:, 0], X[:, 1], c=y, cmap=cmap_bold)
|
||||
plt.xlim(xx.min(), xx.max())
|
||||
plt.ylim(yy.min(), yy.max())
|
||||
plt.title("3-Class classification (k = %i, weights = '%s')"
|
||||
% (n_neighbors, weights))
|
||||
|
||||
plt.show()
|
||||
108
机器学习/殷康龙/机器学习实战1源代码/2.KNN/sklearn-knn.py
Normal file
108
机器学习/殷康龙/机器学习实战1源代码/2.KNN/sklearn-knn.py
Normal file
@@ -0,0 +1,108 @@
|
||||
#!/usr/bin/python
|
||||
# -*- coding: UTF-8 -*-
|
||||
|
||||
"""
|
||||
Created on 2017-06-28
|
||||
Updated on 2017-06-28
|
||||
KNN: k近邻算法
|
||||
Author: 小瑶
|
||||
GitHub: https://github.com/apachecn/AiLearning
|
||||
"""
|
||||
print(__doc__)
|
||||
|
||||
import numpy as np
|
||||
import matplotlib.pyplot as plt
|
||||
import kNN as knn
|
||||
from numpy import *
|
||||
from matplotlib.colors import ListedColormap
|
||||
from sklearn import neighbors, datasets
|
||||
|
||||
def test_knn_dating():
|
||||
|
||||
#%% 利用knn模块的数据读取函数
|
||||
x,y = knn.file2matrix('datingTestSet2.txt')
|
||||
norm_x, ranges, minVals = knn.autoNorm(x)
|
||||
norm_x=np.array(norm_x)
|
||||
y = np.array(y)
|
||||
#%% 生成测试数据的比例
|
||||
train_ratio = 0.9
|
||||
test_ratio = 0.1
|
||||
size_data = len(norm_x)
|
||||
indices = np.random.permutation(size_data)
|
||||
x_train = norm_x[indices[:int(train_ratio*size_data)]]
|
||||
y_train = y[indices[:int(train_ratio*size_data)]]
|
||||
x_test = norm_x[indices[int(test_ratio*size_data):]]
|
||||
y_test = y[indices[int(test_ratio*size_data):]]
|
||||
#%%
|
||||
|
||||
# 设置分类器，并填充训练数据
|
||||
knn_classfier = neighbors.KNeighborsClassifier()
|
||||
knn_classfier.fit(x_train,y_train)
|
||||
#%%
|
||||
# 按比例进行测试数据
|
||||
result = knn_classfier.predict(x_test)
|
||||
for i in range(100):
|
||||
if result[i]==y_test[i]:
|
||||
print(True)
|
||||
else:
|
||||
print(False)
|
||||
# np.sum(error_count)
|
||||
# print(error_count)
|
||||
|
||||
#%%
|
||||
def test_knn_digits():
|
||||
pass
|
||||
|
||||
def test_knn_iris():
|
||||
n_neighbors = 3
|
||||
|
||||
# 导入一些要玩的数据
|
||||
iris = datasets.load_iris()
|
||||
X = iris.data[:, :2] # 我们只采用前两个feature. 我们可以使用二维数据集避免这个丑陋的切片
|
||||
y = iris.target
|
||||
|
||||
# print 'X=', type(X), X
|
||||
# print 'y=', type(y), y
|
||||
|
||||
# X = array([[-1.0, -1.1], [-1.0, -1.0], [0, 0], [1.0, 1.1], [2.0, 2.0], [2.0, 2.1]])
|
||||
# y = array([0, 0, 0, 1, 1, 1])
|
||||
|
||||
# print 'X=', type(X), X
|
||||
# print 'y=', type(y), y
|
||||
|
||||
h = .02 # 网格中的步长
|
||||
|
||||
# 创建彩色的图
|
||||
cmap_light = ListedColormap(['#FFAAAA', '#AAFFAA', '#AAAAFF'])
|
||||
cmap_bold = ListedColormap(['#FF0000', '#00FF00', '#0000FF'])
|
||||
|
||||
# cmap_light = ListedColormap(['#FFAAAA', '#AAFFAA'])
|
||||
# cmap_bold = ListedColormap(['#FF0000', '#00FF00'])
|
||||
|
||||
for weights in ['uniform', 'distance']:
|
||||
# 我们创建了一个knn分类器的实例，并拟合数据。
|
||||
clf = neighbors.KNeighborsClassifier(n_neighbors, weights=weights)
|
||||
clf.fit(X, y)
|
||||
|
||||
# 绘制决策边界。为此，我们将为每个分配一个颜色
|
||||
# 来绘制网格中的点 [x_min, x_max]x[y_min, y_max].
|
||||
x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1
|
||||
y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1
|
||||
xx, yy = np.meshgrid(np.arange(x_min, x_max, h),
|
||||
np.arange(y_min, y_max, h))
|
||||
Z = clf.predict(np.c_[xx.ravel(), yy.ravel()])
|
||||
|
||||
# 将结果放入一个彩色图中
|
||||
Z = Z.reshape(xx.shape)
|
||||
plt.figure()
|
||||
plt.pcolormesh(xx, yy, Z, cmap=cmap_light)
|
||||
|
||||
# 绘制训练点
|
||||
plt.scatter(X[:, 0], X[:, 1], c=y, cmap=cmap_bold)
|
||||
plt.xlim(xx.min(), xx.max())
|
||||
plt.ylim(yy.min(), yy.max())
|
||||
plt.title("3-Class classification (k = %i, weights = '%s')"
|
||||
% (n_neighbors, weights))
|
||||
|
||||
plt.show()
|
||||
# %%
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_0.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_0.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001100000000000000000
|
||||
00000000000011111100000000000000
|
||||
00000000000111111111000000000000
|
||||
00000000011111111111000000000000
|
||||
00000001111111111111100000000000
|
||||
00000000111111100011110000000000
|
||||
00000001111110000001110000000000
|
||||
00000001111110000001110000000000
|
||||
00000011111100000001110000000000
|
||||
00000011111100000001111000000000
|
||||
00000011111100000000011100000000
|
||||
00000011111100000000011100000000
|
||||
00000011111000000000001110000000
|
||||
00000011111000000000001110000000
|
||||
00000001111100000000000111000000
|
||||
00000001111100000000000111000000
|
||||
00000001111100000000000111000000
|
||||
00000011111000000000000111000000
|
||||
00000011111000000000000111000000
|
||||
00000000111100000000000011100000
|
||||
00000000111100000000000111100000
|
||||
00000000111100000000000111100000
|
||||
00000000111100000000001111100000
|
||||
00000000011110000000000111110000
|
||||
00000000011111000000001111100000
|
||||
00000000011111000000011111100000
|
||||
00000000011111000000111111000000
|
||||
00000000011111100011111111000000
|
||||
00000000000111111111111110000000
|
||||
00000000000111111111111100000000
|
||||
00000000000011111111110000000000
|
||||
00000000000000111110000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_1.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_1.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000011000000000000000
|
||||
00000000000111111110000000000000
|
||||
00000000001111111111100000000000
|
||||
00000000001111111111110000000000
|
||||
00000000011111111111111000000000
|
||||
00000000011111100011111000000000
|
||||
00000000111110000001111000000000
|
||||
00000000111110000001111100000000
|
||||
00000000111110000000111110000000
|
||||
00000001111110000000111110000000
|
||||
00000001111110000000011111000000
|
||||
00000001111110000000001111000000
|
||||
00000001111110000000001111100000
|
||||
00000001111100000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000000111000000
|
||||
00000000111100000000000111000000
|
||||
00000000111100000000000111000000
|
||||
00000000111100000000000111000000
|
||||
00000001111000000000011110000000
|
||||
00000001111000000000011110000000
|
||||
00000000111000000000011110000000
|
||||
00000000111110000011111110000000
|
||||
00000000111110001111111100000000
|
||||
00000000111111111111111000000000
|
||||
00000000011111111111111000000000
|
||||
00000000111111111111100000000000
|
||||
00000000011111111111000000000000
|
||||
00000000001111111000000000000000
|
||||
00000000001111100000000000000000
|
||||
00000000000100000000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_10.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_10.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000100000000000000000000
|
||||
00000000001111000000000000000000
|
||||
00000000001111000000000000000000
|
||||
00000000011111100000000000000000
|
||||
00000000111111111111000000000000
|
||||
00000000011111111111110000000000
|
||||
00000000111111111111110000000000
|
||||
00000000111111111111111000000000
|
||||
00000000111111111111111000000000
|
||||
00000001111111111111111000000000
|
||||
00000000111111111111111110000000
|
||||
00000001111111111001111110000000
|
||||
00000001111100000000111110000000
|
||||
00000001111100000000011110000000
|
||||
00000001111100000000001111000000
|
||||
00000001111100000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000011111000000
|
||||
00000001111000000000011111000000
|
||||
00000000111100000000011111100000
|
||||
00000001111100000000111111000000
|
||||
00000001111100000001111111000000
|
||||
00000001111000000011111110000000
|
||||
00000000111100000011111111000000
|
||||
00000000111100000011111111000000
|
||||
00000000111111111111111110000000
|
||||
00000000111111111111111100000000
|
||||
00000000011111111111111100000000
|
||||
00000000001111111111111100000000
|
||||
00000000001111111111110000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000011111100000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_11.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_11.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000101100000000000000
|
||||
00000000000011111110000000000000
|
||||
00000000000111111111000000000000
|
||||
00000000000111111111110000000000
|
||||
00000000000111111111111000000000
|
||||
00000000001111110011111000000000
|
||||
00000000011111110000111100000000
|
||||
00000000011111110000011100000000
|
||||
00000000111110000000011110000000
|
||||
00000000111100000000001110000000
|
||||
00000000111000000000001110000000
|
||||
00000001111000000000001110000000
|
||||
00000001111000000000001110000000
|
||||
00000001110000000000001111000000
|
||||
00000001110000000000000111000000
|
||||
00000001110000000000000111000000
|
||||
00000011110000000000000111000000
|
||||
00000011110000000000000111000000
|
||||
00000011110000000000000111000000
|
||||
00000011110000000000000111000000
|
||||
00000001110000000000000111000000
|
||||
00000001110000000000000111000000
|
||||
00000001110000000000000111000000
|
||||
00000001111000000000000111000000
|
||||
00000000111100000000001111000000
|
||||
00000000111110000000001111000000
|
||||
00000000111111100000111111000000
|
||||
00000000011111111111111110000000
|
||||
00000000000111111111111110000000
|
||||
00000000000111111111111100000000
|
||||
00000000000000111111111110000000
|
||||
00000000000000001111111000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_12.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_12.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000000111000000000000
|
||||
00000000000000111111000000000000
|
||||
00000000000011111111100000000000
|
||||
00000000000011111111110000000000
|
||||
00000000000011111111111000000000
|
||||
00000000110111111111111000000000
|
||||
00000001111111111111111000000000
|
||||
00000001111111100000111000000000
|
||||
00000001111111000000011110000000
|
||||
00000001111110000000011110000000
|
||||
00000001111110000000001110000000
|
||||
00000011111100000000001110000000
|
||||
00000011111100000000001110000000
|
||||
00000011111000000000001110000000
|
||||
00000001111100000000000111000000
|
||||
00000011111000000000000111000000
|
||||
00000011111000000000001110000000
|
||||
00000011111000000000001110000000
|
||||
00000011110000000000011110000000
|
||||
00000001111000000000001111000000
|
||||
00000000111100000000001111000000
|
||||
00000000111100000000001110000000
|
||||
00000000111100000000011110000000
|
||||
00000000111110000000111110000000
|
||||
00000000111111000000111100000000
|
||||
00000000001111100000111110000000
|
||||
00000000001111111111111110000000
|
||||
00000000000111111111111000000000
|
||||
00000000000111111111111000000000
|
||||
00000000000011111111110000000000
|
||||
00000000000000111111110000000000
|
||||
00000000000000011111100000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_13.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_13.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000111100000000000000
|
||||
00000000000011111110000000000000
|
||||
00000000000111111111000000000000
|
||||
00000000001111111111100000000000
|
||||
00000000001111111111100000000000
|
||||
00000000111111111111110000000000
|
||||
00000000011111111111111000000000
|
||||
00000000111111110111111000000000
|
||||
00000001111110000000111100000000
|
||||
00000001111110000000011100000000
|
||||
00000011111110000000011100000000
|
||||
00000011111100000000011100000000
|
||||
00000011111100000000011100000000
|
||||
00000001111100000000001111000000
|
||||
00000001111000000000000111000000
|
||||
00000011110000000000000111000000
|
||||
00000011110000000000000111000000
|
||||
00000011110000000000000111000000
|
||||
00000011110000000000000111000000
|
||||
00000011110000000000000111000000
|
||||
00000000111000000000000011100000
|
||||
00000000111000000000000011100000
|
||||
00000000111100000000000111100000
|
||||
00000000111100000000000111100000
|
||||
00000000111110000000011111100000
|
||||
00000000011111000000111111000000
|
||||
00000000011111111111111110000000
|
||||
00000000001111111111111111000000
|
||||
00000000000111111111111111000000
|
||||
00000000000111111111111110000000
|
||||
00000000000011111111111000000000
|
||||
00000000000000111111110000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_14.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_14.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000111100000000000000
|
||||
00000000000001111110000000000000
|
||||
00000000000111111111000000000000
|
||||
00000000000011111111110000000000
|
||||
00000000000111111111111000000000
|
||||
00000000000111111111111000000000
|
||||
00000000000111111111111000000000
|
||||
00000000001111100001111100000000
|
||||
00000000001111000000111100000000
|
||||
00000000011110000000111100000000
|
||||
00000000111110000000011100000000
|
||||
00000001111110000000011110000000
|
||||
00000000111111000000001111000000
|
||||
00000001111111000000001111000000
|
||||
00000001111111000000001111000000
|
||||
00000001111110000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001110000000000001111000000
|
||||
00000001110000000000001111000000
|
||||
00000001110000000000001111000000
|
||||
00000011110000000000001111000000
|
||||
00000000111000000000000111100000
|
||||
00000000111100000000000111100000
|
||||
00000000111110000000011111100000
|
||||
00000000111111000000111111000000
|
||||
00000000111111110001111111000000
|
||||
00000000011111111111111111000000
|
||||
00000000011111111111111110000000
|
||||
00000000001111111111111100000000
|
||||
00000000000111111111111000000000
|
||||
00000000000001111111110000000000
|
||||
00000000000000011111000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_15.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_15.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000111110000000000000
|
||||
00000000000011111111000000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000111111111110000000000
|
||||
00000000001111111111111000000000
|
||||
00000000001111111111111000000000
|
||||
00000000011111111111111000000000
|
||||
00000000111111000011111100000000
|
||||
00000000111110000001111100000000
|
||||
00000000111100000000111100000000
|
||||
00000000111111000000011111000000
|
||||
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|
||||
00000000111110000000001111000000
|
||||
00000001111110000000001111000000
|
||||
00000001111110000000001111000000
|
||||
00000001111110000000000111000000
|
||||
00000011111100000000000111000000
|
||||
00000001111000000000000111000000
|
||||
00000001111000000000000111000000
|
||||
00000001111000000000000111000000
|
||||
00000001111000000000000111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000011111000000
|
||||
00000000111110000000001111100000
|
||||
00000000111110000000011111000000
|
||||
00000000011111000011111111000000
|
||||
00000000011111111111111111000000
|
||||
00000000001111111111111100000000
|
||||
00000000001111111111111100000000
|
||||
00000000000111111111111000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000001111110000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_16.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_16.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000100000000000000000000
|
||||
00000000001100011111000000000000
|
||||
00000000011110011111110000000000
|
||||
00000000111111111111100000000000
|
||||
00000000111111111111110000000000
|
||||
00000000111111111111110000000000
|
||||
00000000111111111111111000000000
|
||||
00000000111111111111111100000000
|
||||
00000000111111100000111110000000
|
||||
00000000111111000000011110000000
|
||||
00000000111100000000011111000000
|
||||
00000000111000000000001111100000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000011111111111111111000000000
|
||||
00000001111111111111110000000000
|
||||
00000000111111111111110000000000
|
||||
00000000111111111111100000000000
|
||||
00000000011111111111000000000000
|
||||
00000000111111111100000000000000
|
||||
00000000001111110000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_17.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_17.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001100000000000000000
|
||||
00000000000111110111000000000000
|
||||
00000000001111111111100000000000
|
||||
00000000011111111111110000000000
|
||||
00000000011111111111111000000000
|
||||
00000000111111011111111000000000
|
||||
00000000111110011111111100000000
|
||||
00000001111100011111111100000000
|
||||
00000001111100000000111110000000
|
||||
00000011111000000000011110000000
|
||||
00000001111100000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001111000000011111110000000
|
||||
00000000111100000111111100000000
|
||||
00000000111111111111111000000000
|
||||
00000000111111111111111000000000
|
||||
00000000111111111111110000000000
|
||||
00000000011111111111100000000000
|
||||
00000000001111111111000000000000
|
||||
00000000000111111100000000000000
|
||||
00000000000011111000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_18.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_18.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000011100000000000000
|
||||
00000000000001111100000000000000
|
||||
00000000000001111100000000000000
|
||||
00000000000001111111000000000000
|
||||
00000000000000111111000000000000
|
||||
00000000110000001111000000000000
|
||||
00000000111000000011110000000000
|
||||
00000001111000000011110000000000
|
||||
00000011111000000011110000000000
|
||||
00000001111110000000111000000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001111000000000011111000000
|
||||
00000001111000000000011111000000
|
||||
00000001111000000000011111000000
|
||||
00000001111000000000001111000000
|
||||
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|
||||
00000001111000000000111111000000
|
||||
00000000111100000000011111100000
|
||||
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|
||||
00000000111110000001111110000000
|
||||
00000000001111000001111111000000
|
||||
00000000001111111111111110000000
|
||||
00000000001111111111111100000000
|
||||
00000000000011111111111110000000
|
||||
00000000000011111111111000000000
|
||||
00000000000001111111110000000000
|
||||
00000000000000111111110000000000
|
||||
00000000000000000011000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_19.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_19.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001110000000000000000
|
||||
00000000000011111000000000000000
|
||||
00000000001111111111000000000000
|
||||
00000000000111111111100000000000
|
||||
00000000001111111111110000000000
|
||||
00000000001111111111111100000000
|
||||
00000000011111111111111100000000
|
||||
00000000111110011111111110000000
|
||||
00000001111110001110111111000000
|
||||
00000001111100000000011111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001111000000111111000000000
|
||||
00000001111000001111110000000000
|
||||
00000001111110011111100000000000
|
||||
00000001111111111111000000000000
|
||||
00000000011111111110000000000000
|
||||
00000000011111111100000000000000
|
||||
00000000001111111000000000000000
|
||||
00000000000011111000000000000000
|
||||
00000000000000100000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_2.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_2.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000010000000000000000000
|
||||
00000000001111000000000000000000
|
||||
00000000001111111000000000000000
|
||||
00000000011111111110000000000000
|
||||
00000000011111111111000000000000
|
||||
00000000111111111111100000000000
|
||||
00000000111111111111110000000000
|
||||
00000000111111110111110000000000
|
||||
00000000111111000011110000000000
|
||||
00000001111110000001111000000000
|
||||
00000001111110000000011110000000
|
||||
00000001111110000000001110000000
|
||||
00000001111110000000001110000000
|
||||
00000001111110000000001111000000
|
||||
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|
||||
00000001111100000000000111000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001110000000000011110000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000000111111111111111000000000
|
||||
00000000011111111111110000000000
|
||||
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|
||||
00000000001111111110000000000000
|
||||
00000000000011110000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_20.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_20.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000010000000000000000
|
||||
00000000000000111100000000000000
|
||||
00000000000011111100000000000000
|
||||
00000000000011111111000000000000
|
||||
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|
||||
00000000000111111111100000000000
|
||||
00000000000111111111110000000000
|
||||
00000000000111110111110000000000
|
||||
00000000001111100011111000000000
|
||||
00000000000111100001111100000000
|
||||
00000000000111100001111100000000
|
||||
00000000001111000000111100000000
|
||||
00000000000111000000011110000000
|
||||
00000000000011000000111110000000
|
||||
00000000110000000000111110000000
|
||||
00000000011100000000011110000000
|
||||
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|
||||
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|
||||
00000000111110000000011111000000
|
||||
00000000111110000000111111000000
|
||||
00000000111100000000111110000000
|
||||
00000000011110000000111111000000
|
||||
00000000011110000001111110000000
|
||||
00000000111110000111111110000000
|
||||
00000000011111000111111110000000
|
||||
00000000011111111111111100000000
|
||||
00000000001111111111111100000000
|
||||
00000000000111111111111100000000
|
||||
00000000000111111111111000000000
|
||||
00000000000011111111100000000000
|
||||
00000000000000111111000000000000
|
||||
00000000000000011100000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_21.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_21.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000010000000000000000
|
||||
00000000000001111100000000000000
|
||||
00000000000011111110000000000000
|
||||
00000000000011111111100000000000
|
||||
00000000000111111111110000000000
|
||||
00000000001111111111110000000000
|
||||
00000000001111100111110000000000
|
||||
00000000001111100001111100000000
|
||||
00000000001111000001111100000000
|
||||
00000000011110000001111100000000
|
||||
00000000111000000001111100000000
|
||||
00000000111000000000111110000000
|
||||
00000001111000000000111110000000
|
||||
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|
||||
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|
||||
00000001111000000000111110000000
|
||||
00000001111000000000111110000000
|
||||
00000011111000000001111110000000
|
||||
00000001111100000000111110000000
|
||||
00000001111000000001111100000000
|
||||
00000001111000000001111100000000
|
||||
00000001111100000011111100000000
|
||||
00000000111110000001111110000000
|
||||
00000000011110000111111100000000
|
||||
00000000011111001111111000000000
|
||||
00000000011111111111111000000000
|
||||
00000000001111111111111000000000
|
||||
00000000001111111111110000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000011111111000000000000
|
||||
00000000000001111110000000000000
|
||||
00000000000000011000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_22.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_22.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000110100000000000000
|
||||
00000000000001111111000000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000111111111110000000000
|
||||
00000000001111111111111000000000
|
||||
00000000001111111111111000000000
|
||||
00000000011111010111111000000000
|
||||
00000000111110000001111000000000
|
||||
00000000111100000001111100000000
|
||||
00000000111100000000111110000000
|
||||
00000001111100000000011110000000
|
||||
00000001111000000000111111000000
|
||||
00000001111000000000011111000000
|
||||
00000011110000000000111110000000
|
||||
00000011110000000000011110000000
|
||||
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|
||||
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|
||||
00000001111000000000011111000000
|
||||
00000011111000000000011111000000
|
||||
00000001111000000000001111000000
|
||||
00000011110000000000111110000000
|
||||
00000001111000000000111110000000
|
||||
00000001111000000000111110000000
|
||||
00000001111100000000111110000000
|
||||
00000000111110000000111110000000
|
||||
00000000111110000001111100000000
|
||||
00000000011111100111111100000000
|
||||
00000000111111111111111000000000
|
||||
00000000011111111111110000000000
|
||||
00000000000111111111000000000000
|
||||
00000000000111111111000000000000
|
||||
00000000000001111000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_23.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_23.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000111100000000000000
|
||||
00000000000001111110000000000000
|
||||
00000000000011111111000000000000
|
||||
00000000000111111111000000000000
|
||||
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|
||||
00000000001111111111110000000000
|
||||
00000000011111111111111000000000
|
||||
00000000111111000111111100000000
|
||||
00000001111110000011111100000000
|
||||
00000001111110000000111110000000
|
||||
00000001111110000000111111000000
|
||||
00000001111110000000011111000000
|
||||
00000011111000000000011110000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001110000000000011110000000
|
||||
00000001111000000000011111000000
|
||||
00000001111000000000011111000000
|
||||
00000001111100000000011110000000
|
||||
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|
||||
00000001111000000000111100000000
|
||||
00000001111110000011111100000000
|
||||
00000001111111100011111100000000
|
||||
00000000111111110011111000000000
|
||||
00000000011111111111111000000000
|
||||
00000000011111111111110000000000
|
||||
00000000001111111111110000000000
|
||||
00000000000011111111100000000000
|
||||
00000000000011111110000000000000
|
||||
00000000000000011000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_24.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_24.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000111110000000000000
|
||||
00000000000001111111000000000000
|
||||
00000000000011111111110000000000
|
||||
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|
||||
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|
||||
00000000001111111111111000000000
|
||||
00000000001111100111111100000000
|
||||
00000000001111000001111110000000
|
||||
00000000001111000000011111000000
|
||||
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|
||||
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|
||||
00000001111110000000001110000000
|
||||
00000001111110000000001111000000
|
||||
00000001111100000000001111000000
|
||||
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|
||||
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|
||||
00000011111100000000011110000000
|
||||
00000011111100000000011110000000
|
||||
00000001111110000000011110000000
|
||||
00000001111110000000111110000000
|
||||
00000001111111000001111100000000
|
||||
00000001111111000001111100000000
|
||||
00000001111111000001111000000000
|
||||
00000000111111000001111000000000
|
||||
00000000011111111111111000000000
|
||||
00000000001111111111110000000000
|
||||
00000000001111111111110000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000011111111000000000000
|
||||
00000000000011111110000000000000
|
||||
00000000000001111100000000000000
|
||||
00000000000000001000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_25.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_25.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000000010000000000000
|
||||
00000000001110011111110000000000
|
||||
00000000001111111111111100000000
|
||||
00000000011111111111111100000000
|
||||
00000000011111111101111110000000
|
||||
00000000011111111000011110000000
|
||||
00000000111111000000001100000000
|
||||
00000000111110000000001110000000
|
||||
00000000111110000000001111000000
|
||||
00000000111100000000000111000000
|
||||
00000001111100000000000111000000
|
||||
00000001111000000000000111000000
|
||||
00000001111000000000000011000000
|
||||
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|
||||
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|
||||
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|
||||
00000011111000000000000111000000
|
||||
00000001111000000000000111000000
|
||||
00000001111000000000000111000000
|
||||
00000001111000000000000111000000
|
||||
00000011110000000000001110000000
|
||||
00000001111000000000001110000000
|
||||
00000001111000000000001110000000
|
||||
00000001111000000000001110000000
|
||||
00000000011100000000011100000000
|
||||
00000000011100000000011100000000
|
||||
00000000011100000000111100000000
|
||||
00000000011111000011110000000000
|
||||
00000000011111111111100000000000
|
||||
00000000001111111111100000000000
|
||||
00000000000111111111000000000000
|
||||
00000000000001111100000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_26.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_26.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000011111111000000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000111111111110000000000
|
||||
00000000001111111111111000000000
|
||||
00000000001111100111111000000000
|
||||
00000000001111100001111100000000
|
||||
00000001101111100001111110000000
|
||||
00000011111111000000111110000000
|
||||
00000011111111000000111110000000
|
||||
00000011111111000000011111000000
|
||||
00000011111111000000011111000000
|
||||
00000011111111000000011111000000
|
||||
00000011111111000000011111000000
|
||||
00000111111110000000011111100000
|
||||
00000111111100000000001111100000
|
||||
00000111111100000000001111100000
|
||||
00000111111100000000000111100000
|
||||
00000011111100000000000111100000
|
||||
00000011111100000000000111100000
|
||||
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|
||||
00000011111100000000000111100000
|
||||
00000011111100000000000111100000
|
||||
00000001111110000000001111100000
|
||||
00000001111110000000011111000000
|
||||
00000001111111000000011111000000
|
||||
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|
||||
00000000111111000001111110000000
|
||||
00000000111111111111111110000000
|
||||
00000000011111111111111100000000
|
||||
00000000000111111111111000000000
|
||||
00000000000011111111110000000000
|
||||
00000000000001111111100000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_27.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_27.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000111111110000000000000
|
||||
00000000001111111111000000000000
|
||||
00000000011111111111100000000000
|
||||
00000000111111111111110000000000
|
||||
00000001111111111111111000000000
|
||||
00000001111110000011111000000000
|
||||
00000011111100000011111100000000
|
||||
00000011111110000001111110000000
|
||||
00000011111111000000111110000000
|
||||
00000011111110000000011110000000
|
||||
00000011111100000000011111000000
|
||||
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|
||||
00000011111100000000001111000000
|
||||
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|
||||
00000111111000000000001111100000
|
||||
00000111111000000000000111100000
|
||||
00000011111000000000000111100000
|
||||
00000011111000000000000111100000
|
||||
00000011111000000000000111100000
|
||||
00000011111000000000000111100000
|
||||
00000011111000000000001111100000
|
||||
00000011111000000000001111000000
|
||||
00000011111000000000001111000000
|
||||
00000011111100000000011111000000
|
||||
00000011111100000000111111000000
|
||||
00000001111110000011111110000000
|
||||
00000001111111100111111100000000
|
||||
00000000111111111111111100000000
|
||||
00000000111111111111111000000000
|
||||
00000000011111111111110000000000
|
||||
00000000001111111111100000000000
|
||||
00000000000111111110000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_28.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_28.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000000000000000000000
|
||||
00000000001111111111100000000000
|
||||
00000000001111111111110000000000
|
||||
00000000011111111111111000000000
|
||||
00000000111111111111111100000000
|
||||
00000000111111111111111100000000
|
||||
00000000111101111111111110000000
|
||||
00000000111100001110011110000000
|
||||
00000000111100000100001111000000
|
||||
00000000111000000000001111000000
|
||||
00000011111000000000011110000000
|
||||
00000011110000000000011110000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000000111100000000001111000000
|
||||
00000001111000000000011110000000
|
||||
00000001111000000000011110000000
|
||||
00000001111100000000111110000000
|
||||
00000000111100000001111100000000
|
||||
00000000111111111111111100000000
|
||||
00000000011111111111111000000000
|
||||
00000000011111111111111000000000
|
||||
00000000001111111111110000000000
|
||||
00000000000111111111100000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_29.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_29.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001110000000000000000
|
||||
00000000000111111100000000000000
|
||||
00000000001111111111000000000000
|
||||
00000000011111111111000000000000
|
||||
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|
||||
00000000111111111111110000000000
|
||||
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|
||||
00000000111100001111111000000000
|
||||
00000001111000000011111000000000
|
||||
00000001111000000011111100000000
|
||||
00000001110000000011111100000000
|
||||
00000001110000000000111100000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001111000000000001110000000
|
||||
00000001111000000000001110000000
|
||||
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|
||||
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|
||||
00000000111111110001111110000000
|
||||
00000000011111111111111100000000
|
||||
00000000001111111111111100000000
|
||||
00000000001111111111110000000000
|
||||
00000000000111111111100000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_3.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_3.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001100000000000000000
|
||||
00000000000000111000000000000000
|
||||
00000000000111111100000000000000
|
||||
00000000000111111110000000000000
|
||||
00000000011111111110000000000000
|
||||
00000000001111100111100000000000
|
||||
00000000011111000111100000000000
|
||||
00000001111110000011100000000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001111100000000001110000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000000011111100000001111110000
|
||||
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|
||||
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|
||||
00000000001110000000111111000000
|
||||
00000000011111000111111110000000
|
||||
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|
||||
00000000000111111111111100000000
|
||||
00000000000111111111110000000000
|
||||
00000000000011111111000000000000
|
||||
00000000000000100000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_30.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_30.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001100000000000000000
|
||||
00000000001111111100000000000000
|
||||
00000000001111111111000000000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000000000011111111000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_31.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_31.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000111100000000000000
|
||||
00000000000001111111111000000000
|
||||
00000000000011111111111100000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000000011110000000011110000000
|
||||
00000000011111000000011100000000
|
||||
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|
||||
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|
||||
00000000001111111111110000000000
|
||||
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|
||||
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|
||||
00000000000011111110000000000000
|
||||
00000000000001111000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_32.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_32.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000011100000000000000000
|
||||
00000000000111111100000000000000
|
||||
00000000001111111110000000000000
|
||||
00000000011111111111000000000000
|
||||
00000000011111111111000000000000
|
||||
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|
||||
00000000111110111111110000000000
|
||||
00000001111110111111111000000000
|
||||
00000001111100001111111100000000
|
||||
00000001111000000011111100000000
|
||||
00000001111000000001111100000000
|
||||
00000001111000000000111110000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001111100000000011111000000
|
||||
00000001111110000000011111000000
|
||||
00000001111111000001111110000000
|
||||
00000000111111100111111110000000
|
||||
00000000011111111111111100000000
|
||||
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|
||||
00000000001111111111110000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000000001000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_33.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_33.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000011100000000000000000
|
||||
00000000000111111000000000000000
|
||||
00000000001111111110000000000000
|
||||
00000000001111111110000000000000
|
||||
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|
||||
00000000111111111001100000000000
|
||||
00000000111111110011111000000000
|
||||
00000001111111110111111000000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001111100000000000111100000
|
||||
00000001111000000000000111100000
|
||||
00000001111000000000000111100000
|
||||
00000001111100000000001111100000
|
||||
00000001111100000000001111000000
|
||||
00000001111100000000111110000000
|
||||
00000000111110000011111110000000
|
||||
00000000011111111111111111000000
|
||||
00000000011111111111111111000000
|
||||
00000000001111111111111000000000
|
||||
00000000000111111111111000000000
|
||||
00000000000000011110000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_34.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_34.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000111110000000000000
|
||||
00000000000000111111100000000000
|
||||
00000000000111111111110000000000
|
||||
00000000001111111111111000000000
|
||||
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|
||||
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|
||||
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|
||||
00000001111111111001111111000000
|
||||
00000001111111110000111111000000
|
||||
00000001111111000000011111000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001111100000000011111000000
|
||||
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|
||||
00000001111100000000111110000000
|
||||
00000001111100000001111100000000
|
||||
00000001111100000011111100000000
|
||||
00000001111111100111111000000000
|
||||
00000001111111111111111000000000
|
||||
00000000011111111111110000000000
|
||||
00000000011111111111100000000000
|
||||
00000000001111111111100000000000
|
||||
00000000000111111110000000000000
|
||||
00000000000111111100000000000000
|
||||
00000000000001100000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_35.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_35.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000100000000000000000
|
||||
00000000000111110000000000000000
|
||||
00000000000111111000000000000000
|
||||
00000000001111111110000000000000
|
||||
00000000001111111110000000000000
|
||||
00000000011111111111000000000000
|
||||
00000000111111111111000000000000
|
||||
00000011111111111111100000000000
|
||||
00000011111111101111100000000000
|
||||
00000011111110000111110000000000
|
||||
00000111111110000011110000000000
|
||||
00000011111100000001111100000000
|
||||
00000111111100000001111100000000
|
||||
00000111111100000000111100000000
|
||||
00000111111100000000111100000000
|
||||
00000011111110000000001110000000
|
||||
00000011111110000000001110000000
|
||||
00000011111110000000001111000000
|
||||
00000001111110000000000111100000
|
||||
00000001111100000000000111100000
|
||||
00000001111100000000000111100000
|
||||
00000001111100000000000111000000
|
||||
00000000111110000000000111100000
|
||||
00000000111110000000001111100000
|
||||
00000000111110000000011111100000
|
||||
00000000111111100000111111000000
|
||||
00000000001111111111111111000000
|
||||
00000000001111111111111111000000
|
||||
00000000000111111111111110000000
|
||||
00000000000111111111111000000000
|
||||
00000000000001111111110000000000
|
||||
00000000000000011000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_36.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_36.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000011110000000000000
|
||||
00000000000111111111100000000000
|
||||
00000000001111111111110000000000
|
||||
00000000011111111111111000000000
|
||||
00000000011111111111111000000000
|
||||
00000000111111111111111000000000
|
||||
00000000111111111111111100000000
|
||||
00000001111111111111111100000000
|
||||
00000001111111111111111110000000
|
||||
00000001111111100000111110000000
|
||||
00000001111110000000011110000000
|
||||
00000001111100000000011110000000
|
||||
00000001111100000000011110000000
|
||||
00000001111110000000001111000000
|
||||
00000001111110000000001111000000
|
||||
00000001111100000000001111000000
|
||||
00000001111100000000001111000000
|
||||
00000001111100000000011110000000
|
||||
00000001111100000000111110000000
|
||||
00000001111000000000111110000000
|
||||
00000000111100000000011111000000
|
||||
00000001111100000001111111000000
|
||||
00000000111100000001111110000000
|
||||
00000001111100000111111100000000
|
||||
00000001111110001111111100000000
|
||||
00000000111111111111111000000000
|
||||
00000000111111111111110000000000
|
||||
00000000011111111111110000000000
|
||||
00000000011111111111110000000000
|
||||
00000000001111111111100000000000
|
||||
00000000000111111110000000000000
|
||||
00000000000001111000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_37.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_37.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000011110000000000000
|
||||
00000000000001111111000000000000
|
||||
00000000000111111111100000000000
|
||||
00000000001111111111110000000000
|
||||
00000000111111111111110000000000
|
||||
00000000111111110011110000000000
|
||||
00000000011111110000111000000000
|
||||
00000000111111110000111100000000
|
||||
00000001111111100000011100000000
|
||||
00000011111111000000011100000000
|
||||
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|
||||
00000011111100000000011110000000
|
||||
00000011111000000000011110000000
|
||||
00000001111100000000001111000000
|
||||
00000001111100000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000011111000000000011111000000
|
||||
00000011111000000000011111000000
|
||||
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|
||||
00000011110000000000111111000000
|
||||
00000001111000000000011111100000
|
||||
00000001111000000000111110000000
|
||||
00000001111000000001111110000000
|
||||
00000001111000000001111110000000
|
||||
00000001111000000011111100000000
|
||||
00000000111100000111111000000000
|
||||
00000000111111111111110000000000
|
||||
00000000011111111111111000000000
|
||||
00000000001111111111110000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000011111100000000000000
|
||||
00000000000001110000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_38.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_38.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000011000000000000000
|
||||
00000000000001111110000000000000
|
||||
00000000000011111110000000000000
|
||||
00000000001111111111100000000000
|
||||
00000000111111111111100000000000
|
||||
00000000111111111111110000000000
|
||||
00000001111111100001110000000000
|
||||
00000000111111000000011100000000
|
||||
00000001111110000000011100000000
|
||||
00000001111100000000011100000000
|
||||
00000001111000000000011100000000
|
||||
00000001111000000000001110000000
|
||||
00000001110000000000001110000000
|
||||
00000011110000000000001110000000
|
||||
00000011110000000000001110000000
|
||||
00000001111000000000000111000000
|
||||
00000001110000000000000111000000
|
||||
00000001110000000000001110000000
|
||||
00000001111000000000000111000000
|
||||
00000001110000000000001111000000
|
||||
00000001110000000000001111000000
|
||||
00000001111000000000001110000000
|
||||
00000000111100000000001111000000
|
||||
00000000011100000000111110000000
|
||||
00000000011100000001111110000000
|
||||
00000000011110001111111110000000
|
||||
00000000001111111111111100000000
|
||||
00000000001111111111111100000000
|
||||
00000000001111111111111000000000
|
||||
00000000000011111111000000000000
|
||||
00000000000000111111000000000000
|
||||
00000000000000111100000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_39.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_39.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001111000000000000000
|
||||
00000000000001111110000000000000
|
||||
00000000000011111110000000000000
|
||||
00000000000111111111000000000000
|
||||
00000000001111111111000000000000
|
||||
00000000000111111111110000000000
|
||||
00000000111110000000111000000000
|
||||
00000000111110000000111000000000
|
||||
00000001111110000000011100000000
|
||||
00000001111100000000011100000000
|
||||
00000000111100000000001110000000
|
||||
00000001111100000000001110000000
|
||||
00000011111000000000001110000000
|
||||
00000011110000000000001110000000
|
||||
00000001111000000000000111000000
|
||||
00000001111000000000000111000000
|
||||
00000011110000000000000111000000
|
||||
00000011110000000000000111000000
|
||||
00000011110000000000000111000000
|
||||
00000001111000000000000011100000
|
||||
00000001111000000000000111100000
|
||||
00000001111000000000000111000000
|
||||
00000001111000000000001111000000
|
||||
00000000111100000000000111100000
|
||||
00000000011100000000001111000000
|
||||
00000000011100000000011110000000
|
||||
00000000011110000000111110000000
|
||||
00000000011111111111111000000000
|
||||
00000000000111111111111100000000
|
||||
00000000000011111111110000000000
|
||||
00000000000001111111100000000000
|
||||
00000000000000111111000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_4.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_4.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000111000000000000000
|
||||
00000000000011111110100000000000
|
||||
00000000001111011111110000000000
|
||||
00000000001111011111111000000000
|
||||
00000000111111111111111000000000
|
||||
00000000111111111111111100000000
|
||||
00000001111110000000111100000000
|
||||
00000011111100000000111100000000
|
||||
00000011111100000000011110000000
|
||||
00000111111100000000011110000000
|
||||
00000011111111000000000111000000
|
||||
00000011111110000000000111000000
|
||||
00000011111100000000000111000000
|
||||
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|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001110000000
|
||||
00000001111000000000001110000000
|
||||
00000001110000000000011110000000
|
||||
00000001110000000000011110000000
|
||||
00000001110000000000111100000000
|
||||
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|
||||
00000000111100000000111110000000
|
||||
00000000111100000000111100000000
|
||||
00000000111100000011111100000000
|
||||
00000000111110000111111000000000
|
||||
00000000011111111111111000000000
|
||||
00000000011111111111110000000000
|
||||
00000000001111111111000000000000
|
||||
00000000001111111111000000000000
|
||||
00000000000001101000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_40.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_40.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000000111000000000000
|
||||
00000000000000111111111000000000
|
||||
00000000011111111111111100000000
|
||||
00000000011111111111111110000000
|
||||
00000000011111111111111110000000
|
||||
00000000111111100011111110000000
|
||||
00000000111110000000001110000000
|
||||
00000001111110000000001110000000
|
||||
00000001111100000000001110000000
|
||||
00000011111100000000001110000000
|
||||
00000001111100000000000011000000
|
||||
00000001111100000000000111000000
|
||||
00000001111100000000000111000000
|
||||
00000001111100000000000111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001110000000
|
||||
00000001110000000000011110000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001111000000011110000000000
|
||||
00000001111000001111110000000000
|
||||
00000001111100001111110000000000
|
||||
00000001111111111111000000000000
|
||||
00000000111111111110000000000000
|
||||
00000000111111111110000000000000
|
||||
00000000011111111100000000000000
|
||||
00000000001111110000000000000000
|
||||
00000000000111000000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_41.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_41.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000111111111000000000000
|
||||
00000000001111111111100000000000
|
||||
00000000011111111111110000000000
|
||||
00000000011111111111110000000000
|
||||
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|
||||
00000000111111000111111100000000
|
||||
00000001111110000001111100000000
|
||||
00000001111100000001111110000000
|
||||
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|
||||
00000011111000000000111110000000
|
||||
00000001111100000000011111000000
|
||||
00000001111100000000001111100000
|
||||
00000001111100000000001111100000
|
||||
00000001111100000000001111100000
|
||||
00000001111100000000001111100000
|
||||
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|
||||
00000000111110000000001111100000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001111110000000111111000000
|
||||
00000001111110000001111110000000
|
||||
00000001111111111111111110000000
|
||||
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|
||||
00000000011111111111111000000000
|
||||
00000000001111111111110000000000
|
||||
00000000000111111111000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_42.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_42.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001100000000000000000
|
||||
00000000000111111100000000000000
|
||||
00000000001111111110000000000000
|
||||
00000000011111111111000000000000
|
||||
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|
||||
00000000111111101111110000000000
|
||||
00000001111110000111110000000000
|
||||
00000001111100000011111000000000
|
||||
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|
||||
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|
||||
00000001111000000000011110000000
|
||||
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|
||||
00000001111000000000001110000000
|
||||
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|
||||
00000001110000000000001111000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000000011111111111111111000000
|
||||
00000000011111111111111110000000
|
||||
00000000001111111111111100000000
|
||||
00000000000111111111111100000000
|
||||
00000000000000111111000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_43.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_43.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000011111110000000000000
|
||||
00000000001111111111000000000000
|
||||
00000000011111111111100000000000
|
||||
00000000011111111111111000000000
|
||||
00000000011111111111111000000000
|
||||
00000000111111111111111100000000
|
||||
00000001111111111011111100000000
|
||||
00000001111111111001111100000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001111110000000001111100000
|
||||
00000001111110000000001111100000
|
||||
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|
||||
00000000111111111011111111000000
|
||||
00000000111111111111111110000000
|
||||
00000000011111111111111100000000
|
||||
00000000000111111111111100000000
|
||||
00000000000011111111111000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_44.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_44.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001111100000000000000
|
||||
00000000000011111111000000000000
|
||||
00000000001111111111000000000000
|
||||
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|
||||
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|
||||
00000000111110000011110000000000
|
||||
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|
||||
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|
||||
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|
||||
00000001111000000000111100000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001110000000000000111000000
|
||||
00000001110000000000000111000000
|
||||
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|
||||
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|
||||
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|
||||
00000000011110000000011110000000
|
||||
00000000011110000001111100000000
|
||||
00000000011111000011111100000000
|
||||
00000000001111111111111000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000011111110000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_45.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_45.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000011000000000000000000
|
||||
00000000000111000000000000000000
|
||||
00000000001111000000000000000000
|
||||
00000000001111000000000000000000
|
||||
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|
||||
00000000011100011111100000000000
|
||||
00000000111000111111111000000000
|
||||
00000000111000111111111000000000
|
||||
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|
||||
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|
||||
00000001110000111000111100000000
|
||||
00000001110000000000011110000000
|
||||
00000001110000000000011111000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001111000000000011111000000
|
||||
00000001111000000000011100000000
|
||||
00000001111100000000111100000000
|
||||
00000000111110000001111100000000
|
||||
00000000111110000001111100000000
|
||||
00000000011111111111111000000000
|
||||
00000000011111111111110000000000
|
||||
00000000001111111111100000000000
|
||||
00000000001111111111000000000000
|
||||
00000000000011111110000000000000
|
||||
00000000000000000000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_46.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_46.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000011100111000000000000
|
||||
00000000000111111111100000000000
|
||||
00000000001111111111110000000000
|
||||
00000000001111111111111000000000
|
||||
00000000011111111111111100000000
|
||||
00000000011111111111111110000000
|
||||
00000000011110011111111110000000
|
||||
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|
||||
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|
||||
00000000111100001111011111000000
|
||||
00000001111000000000001110000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001110000000000001111000000
|
||||
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|
||||
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|
||||
00000011111000000000011110000000
|
||||
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|
||||
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|
||||
00000011111000001111111000000000
|
||||
00000011111111111111111000000000
|
||||
00000001111111111111110000000000
|
||||
00000000011111111111100000000000
|
||||
00000000001111111111000000000000
|
||||
00000000000111111100000000000000
|
||||
00000000000001110000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_47.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_47.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000000000000000000000
|
||||
00000000011100000000000000000000
|
||||
00000000011100000000000000000000
|
||||
00000000011100000000000000000000
|
||||
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|
||||
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|
||||
00000001111100111111110000000000
|
||||
00000001111111111111111000000000
|
||||
00000001111111111111111000000000
|
||||
00000001111111111111111100000000
|
||||
00000001111111111111111110000000
|
||||
00000001111111111111111111000000
|
||||
00000001111111111111111111000000
|
||||
00000001111111111111111111000000
|
||||
00000011111110011111111111000000
|
||||
00000011111100000000011111000000
|
||||
00000001111000000000001111000000
|
||||
00000001110000000000000111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111100000000011111000000
|
||||
00000001111110000011111111000000
|
||||
00000001111111111111111111000000
|
||||
00000001111111111111111111000000
|
||||
00000001111111111111111111000000
|
||||
00000001111111111111111110000000
|
||||
00000000111111111111111100000000
|
||||
00000000011111111111111100000000
|
||||
00000000011111111111111000000000
|
||||
00000000011111111111111000000000
|
||||
00000000001111111111100000000000
|
||||
00000000000011111110000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_48.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_48.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000001111100000000000
|
||||
00000000000000011111110000000000
|
||||
00000000000000111111110000000000
|
||||
00000001000001111111111000000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000011100111000000001110000000
|
||||
00000111111110000000001110000000
|
||||
00000111111110000000001110000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001110000000000000111000000
|
||||
00000001111000000000001111000000
|
||||
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|
||||
00000000011110000000011111000000
|
||||
00000000011110000000011111000000
|
||||
00000000011111000000111111000000
|
||||
00000000001111000001111111000000
|
||||
00000000001111110011111111000000
|
||||
00000000001111111111111110000000
|
||||
00000000000011111111111111000000
|
||||
00000000000001111111111100000000
|
||||
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|
||||
00000000000000001111110000000000
|
||||
00000000000000001111000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_49.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_49.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001110111110000000000
|
||||
00000000000011111111111100000000
|
||||
00000000000111111111111110000000
|
||||
00000000011111111111111100000000
|
||||
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|
||||
00000000111111111111111110000000
|
||||
00000000111111111000111111000000
|
||||
00000001111111111000011111000000
|
||||
00000001111111110000001111000000
|
||||
00000001111111110000001111100000
|
||||
00000001111111100000000111100000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000111111000000000000111100000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001111100000000001111000000
|
||||
00000001111110000000011111000000
|
||||
00000000111111000000011111000000
|
||||
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|
||||
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|
||||
00000000011111111111111110000000
|
||||
00000000001111111111111110000000
|
||||
00000000000111111111111100000000
|
||||
00000000000111111111110000000000
|
||||
00000000000001111111100000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_5.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_5.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000110000000000000000
|
||||
00000000000011111100000000000000
|
||||
00000000000111111110000000000000
|
||||
00000000001111111111000000000000
|
||||
00000000111111111111100000000000
|
||||
00000001111111111111110000000000
|
||||
00000000111111111111111000000000
|
||||
00000000111111100001111100000000
|
||||
00000001111111000001111100000000
|
||||
00000011111100000000111100000000
|
||||
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|
||||
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|
||||
00000011111100000000011110000000
|
||||
00000001111110000000001111000000
|
||||
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|
||||
00000011111100000000001111000000
|
||||
00000001111100000000001111000000
|
||||
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|
||||
00000001111100000000001111000000
|
||||
00000001111100000000011111000000
|
||||
00000000111110000000001111100000
|
||||
00000000111110000000001111100000
|
||||
00000000111110000000001111100000
|
||||
00000000111110000000011111000000
|
||||
00000000111110000000111111000000
|
||||
00000000111111000001111110000000
|
||||
00000000011111111111111110000000
|
||||
00000000001111111111111110000000
|
||||
00000000001111111111111110000000
|
||||
00000000000111111111111000000000
|
||||
00000000000011111111110000000000
|
||||
00000000000000111111000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_50.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_50.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000100000000000000000
|
||||
00000000000011111000000000000000
|
||||
00000000001111111110000000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000111111111100000000000
|
||||
00000000011111111111110000000000
|
||||
00000000011111111111111000000000
|
||||
00000000111111110011111000000000
|
||||
00000001111111000011111000000000
|
||||
00000001111110000001111000000000
|
||||
00000001111110000001111100000000
|
||||
00000001111110000000111100000000
|
||||
00000001111100000000011111000000
|
||||
00000001111100000000011111000000
|
||||
00000001111100000000011111000000
|
||||
00000001111000000000011111000000
|
||||
00000001111000000000011111000000
|
||||
00000001111000000000011111000000
|
||||
00000001111000000000011111000000
|
||||
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|
||||
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|
||||
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|
||||
00000000111100000000011110000000
|
||||
00000000111100000000111111000000
|
||||
00000000111110000000111110000000
|
||||
00000000111111000011111110000000
|
||||
00000000011111100011111100000000
|
||||
00000000011111111111111000000000
|
||||
00000000001111111111110000000000
|
||||
00000000001111111111110000000000
|
||||
00000000000011111111110000000000
|
||||
00000000000000011111000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_51.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_51.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000011100000000000000000
|
||||
00000000000111110000000000000000
|
||||
00000000001111111111000000000000
|
||||
00000000001111111111110000000000
|
||||
00000000011111111111110000000000
|
||||
00000000111111111111111000000000
|
||||
00000000111111111111111000000000
|
||||
00000000111111111001111100000000
|
||||
00000001111100110000111100000000
|
||||
00000001111000000000111110000000
|
||||
00000001111000000000011110000000
|
||||
00000011111000000000011110000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000000111100000000011110000000
|
||||
00000001111100000000111110000000
|
||||
00000000111100000000111110000000
|
||||
00000000111110000001111100000000
|
||||
00000000111111100011111100000000
|
||||
00000000001111110111111000000000
|
||||
00000000011111111111111000000000
|
||||
00000000001111111111110000000000
|
||||
00000000001111111111100000000000
|
||||
00000000000011111111100000000000
|
||||
00000000000000111110000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_52.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_52.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000011110000000000000
|
||||
00000000000001111110000000000000
|
||||
00000000000111111111000000000000
|
||||
00000000000111111111100000000000
|
||||
00000000011111111111100000000000
|
||||
00000000111111111111111000000000
|
||||
00000000011111111011111100000000
|
||||
00000000011111110001111100000000
|
||||
00000000111111000000111110000000
|
||||
00000000111111000000111110000000
|
||||
00000000111110000000111110000000
|
||||
00000001111100000000011110000000
|
||||
00000001111100000000011110000000
|
||||
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|
||||
00000001111110000000011111000000
|
||||
00000001111110000000011111000000
|
||||
00000001111000000000011111000000
|
||||
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|
||||
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|
||||
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|
||||
00000001111100000000011111000000
|
||||
00000001111110000000111111000000
|
||||
00000001111100000001111111000000
|
||||
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|
||||
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|
||||
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|
||||
00000000111111111111111000000000
|
||||
00000000011111111111111000000000
|
||||
00000000001111111111100000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000111111111000000000000
|
||||
00000000000001111000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_53.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_53.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000111000000000000000
|
||||
00000000000011111110000000000000
|
||||
00000000000111111111000000000000
|
||||
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|
||||
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|
||||
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|
||||
00000000011111111111111000000000
|
||||
00000000111111100001111100000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001111000000000011110000000
|
||||
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|
||||
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|
||||
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|
||||
00000001111100000000011110000000
|
||||
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|
||||
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|
||||
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|
||||
00000001111100000000111111000000
|
||||
00000001111100000000111110000000
|
||||
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|
||||
00000000011110000011111110000000
|
||||
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|
||||
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|
||||
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|
||||
00000000000111111111111000000000
|
||||
00000000000111111111110000000000
|
||||
00000000000011111111100000000000
|
||||
00000000000000001100000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_54.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_54.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000111111000000000000000
|
||||
00000000001111111100000000000000
|
||||
00000000011111111110000000000000
|
||||
00000000011111111111000000000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000000000010000000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_55.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_55.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000011111000000000000000
|
||||
00000000001111111110000000000000
|
||||
00000000001111111111000000000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_56.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_56.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000100000000000000000
|
||||
00000000000111111000000000000000
|
||||
00000000001111111111111000000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000000000001111111100000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_57.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_57.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001100000000000000000
|
||||
00000000000011111000000000000000
|
||||
00000000000111111111000000000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001111100000000001110000000
|
||||
00000000111110000000111110000000
|
||||
00000000111110000000111110000000
|
||||
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|
||||
00000000011111000111111100000000
|
||||
00000000011111111111111100000000
|
||||
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|
||||
00000000000111111111110000000000
|
||||
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|
||||
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|
||||
00000000000000111100000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_58.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_58.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000111000000000000000
|
||||
00000000000011111100000000000000
|
||||
00000000001111111111100000000000
|
||||
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|
||||
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|
||||
00000000011111111111111000000000
|
||||
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|
||||
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|
||||
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|
||||
00000001111100000000011110000000
|
||||
00000001111100000000001110000000
|
||||
00000001111100000000001110000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001111100000000001111000000
|
||||
00000001111100000000011110000000
|
||||
00000001111100000000011110000000
|
||||
00000000111100000000111110000000
|
||||
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|
||||
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|
||||
00000000011110000011111100000000
|
||||
00000000011110000111111000000000
|
||||
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|
||||
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|
||||
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|
||||
00000000000011111111000000000000
|
||||
00000000000000001000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_59.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_59.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000111110000000000000000
|
||||
00000000000111110000000000000000
|
||||
00000000011111111100000000000000
|
||||
00000000011111111111100000000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001111110000000011110000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000001111000000000011111000000
|
||||
00000001111000000000011110000000
|
||||
00000001111000000000011110000000
|
||||
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|
||||
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|
||||
00000000111100000001111100000000
|
||||
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|
||||
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|
||||
00000000111110000111111000000000
|
||||
00000000011110001111111000000000
|
||||
00000000011111111111110000000000
|
||||
00000000011111111111100000000000
|
||||
00000000011111111111000000000000
|
||||
00000000000111111111000000000000
|
||||
00000000000011111110000000000000
|
||||
00000000000000000000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_6.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_6.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000010000000000000000
|
||||
00000000000000111110000000000000
|
||||
00000000000111111111000000000000
|
||||
00000000000111111111110000000000
|
||||
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|
||||
00000000011111111111111000000000
|
||||
00000000111111100011111000000000
|
||||
00000000111111000001111100000000
|
||||
00000000111110000000111100000000
|
||||
00000011111100000000011100000000
|
||||
00000111110000000000011100000000
|
||||
00000011111000000000001110000000
|
||||
00000011110000000000001110000000
|
||||
00000011110000000000001110000000
|
||||
00000011110000000000001110000000
|
||||
00000001111000000000000111000000
|
||||
00000011110000000000001111000000
|
||||
00000011110000000000001111000000
|
||||
00000001111000000000000111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000011110000000
|
||||
00000000111100000000001111000000
|
||||
00000000011100000000011111000000
|
||||
00000000011110000000111110000000
|
||||
00000000011110000001111110000000
|
||||
00000000001111110001111110000000
|
||||
00000000001111111111111100000000
|
||||
00000000000111111111111000000000
|
||||
00000000000111111111111000000000
|
||||
00000000000001111111111000000000
|
||||
00000000000000000111000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_60.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_60.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001100000000000000000
|
||||
00000000000111110000000000000000
|
||||
00000000001111111100000000000000
|
||||
00000000011111111111100000000000
|
||||
00000000011111111111100000000000
|
||||
00000000011111111111110000000000
|
||||
00000000111111111111110000000000
|
||||
00000000111111111001111100000000
|
||||
00000001111111011000111100000000
|
||||
00000001111100000000111100000000
|
||||
00000001111100000000111100000000
|
||||
00000000111100000000011110000000
|
||||
00000001111000000000011110000000
|
||||
00000001111000000000011110000000
|
||||
00000001111000000000011110000000
|
||||
00000001111100000000001111000000
|
||||
00000001111000000000011111000000
|
||||
00000001111000000000011111000000
|
||||
00000000111100000000001111000000
|
||||
00000000111100000000011111000000
|
||||
00000001111100000000111111000000
|
||||
00000001111100000000111110000000
|
||||
00000000111110000001111110000000
|
||||
00000000111110000001111100000000
|
||||
00000000111110000011111100000000
|
||||
00000000111100000011111000000000
|
||||
00000000001111111111111000000000
|
||||
00000000001111111111110000000000
|
||||
00000000001111111111100000000000
|
||||
00000000001111111111000000000000
|
||||
00000000000011111110000000000000
|
||||
00000000000000010000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_61.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_61.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001111100000000000000
|
||||
00000000000111111110000000000000
|
||||
00000000001111111111000000000000
|
||||
00000000011111111111100000000000
|
||||
00000000111111111111111000000000
|
||||
00000000111111110001111000000000
|
||||
00000001111110000000111000000000
|
||||
00000000111110000000011100000000
|
||||
00000011111110000000001100000000
|
||||
00000011111110000000011100000000
|
||||
00000011111110000000011100000000
|
||||
00000011111111000000000110000000
|
||||
00000011111100000000001110000000
|
||||
00000011111100000000001110000000
|
||||
00000011111000000000001110000000
|
||||
00000001111100000000000111000000
|
||||
00000001111000000000000111000000
|
||||
00000011111000000000001111000000
|
||||
00000001111100000000000111100000
|
||||
00000001111100000000000111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000011110000000
|
||||
00000000111100000000011111000000
|
||||
00000000111100000001111110000000
|
||||
00000000011100000111111110000000
|
||||
00000000011111011111111100000000
|
||||
00000000001111111111111110000000
|
||||
00000000001111111111111110000000
|
||||
00000000001111111111111000000000
|
||||
00000000000011111111100000000000
|
||||
00000000000001111110000000000000
|
||||
00000000000000000000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_62.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_62.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001110000000000000000
|
||||
00000000000001111110000000000000
|
||||
00000000000111111110000000000000
|
||||
00000000001111111111000000000000
|
||||
00000000001111111111100000000000
|
||||
00000000001111111111110000000000
|
||||
00000000011111100011111000000000
|
||||
00000000011111000001111000000000
|
||||
00000000011111100000011100000000
|
||||
00000000111111000000011100000000
|
||||
00000000111111000000001100000000
|
||||
00000000111111000000000110000000
|
||||
00000000111111000000000110000000
|
||||
00000000111110000000001110000000
|
||||
00000000111110000000001110000000
|
||||
00000000111111000000000111000000
|
||||
00000000111111000000001110000000
|
||||
00000000111110000000011110000000
|
||||
00000000011110000000001111000000
|
||||
00000000111100000000011111000000
|
||||
00000000111100000000111110000000
|
||||
00000000111100000001111110000000
|
||||
00000000011100000000111110000000
|
||||
00000000011100000001111100000000
|
||||
00000000111100000111111100000000
|
||||
00000000011111011111111100000000
|
||||
00000000011111111111111000000000
|
||||
00000000001111111111100000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000111111111000000000000
|
||||
00000000000011111100000000000000
|
||||
00000000000000100000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_63.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_63.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000100000000000000000
|
||||
00000000000011111100000000000000
|
||||
00000000000111111110000000000000
|
||||
00000000000111111111100000000000
|
||||
00000000011111111111110000000000
|
||||
00000000011111111111110000000000
|
||||
00000000011111111001111000000000
|
||||
00000000111111000000111000000000
|
||||
00000000111110000000011000000000
|
||||
00000000011110000000001100000000
|
||||
00000000011110000000001100000000
|
||||
00000000111100000000001100000000
|
||||
00000000011111000000000110000000
|
||||
00000000111111000000000110000000
|
||||
00000000111111000000001100000000
|
||||
00000000111111100000000110000000
|
||||
00000000111111000000000110000000
|
||||
00000000111111000000001110000000
|
||||
00000000111111000000000111000000
|
||||
00000000111111000000011110000000
|
||||
00000000111111000000111100000000
|
||||
00000000111111100000111110000000
|
||||
00000000111111000000111110000000
|
||||
00000000111100000011111100000000
|
||||
00000000011110000011111110000000
|
||||
00000000011110000111111100000000
|
||||
00000000011110111111111000000000
|
||||
00000000001111111111111000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000111111111000000000000
|
||||
00000000000011111110000000000000
|
||||
00000000000001111100000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_64.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_64.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001111100000000000000
|
||||
00000000000111111110000000000000
|
||||
00000000001111111111000000000000
|
||||
00000000001111111111100000000000
|
||||
00000000011111111111100000000000
|
||||
00000000011111111111110000000000
|
||||
00000000011111111011111000000000
|
||||
00000000011111110001111100000000
|
||||
00000000111111100000111100000000
|
||||
00000000011111000000011110000000
|
||||
00000000011111000000011110000000
|
||||
00000000111110000000011110000000
|
||||
00000000111111000000001111000000
|
||||
00000000111111000000011111000000
|
||||
00000000111111000000011111000000
|
||||
00000000111111100000001111100000
|
||||
00000000111111100000001111000000
|
||||
00000000111111100000001111000000
|
||||
00000000111111110000001111100000
|
||||
00000000111111100000001111000000
|
||||
00000001111111000000111111000000
|
||||
00000000111111000000111111100000
|
||||
00000000111110000000111111000000
|
||||
00000000111110000011111111000000
|
||||
00000000011111000111111111000000
|
||||
00000000011111001111111100000000
|
||||
00000000111111111111111000000000
|
||||
00000000011111111111111100000000
|
||||
00000000011111111111111000000000
|
||||
00000000001111111111110000000000
|
||||
00000000000111111111110000000000
|
||||
00000000000011111111000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_65.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_65.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001111000000000000000
|
||||
00000000001111111110000000000000
|
||||
00000000011111111110000000000000
|
||||
00000000011111111111100000000000
|
||||
00000000011111111111110000000000
|
||||
00000000011111111111110000000000
|
||||
00000000111111111111111000000000
|
||||
00000001111111000011111000000000
|
||||
00000000111110000000011100000000
|
||||
00000001111100000000001110000000
|
||||
00000001111110000000001110000000
|
||||
00000001111110000000001110000000
|
||||
00000001111000000000001110000000
|
||||
00000011111000000000001110000000
|
||||
00000001111100000000000111000000
|
||||
00000001111100000000000111000000
|
||||
00000001111100000000000111000000
|
||||
00000001111000000000001111000000
|
||||
00000011111000000000001110000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000011111000000
|
||||
00000001111000000000111110000000
|
||||
00000001111000000000111110000000
|
||||
00000001111100011111111000000000
|
||||
00000000111111111111111100000000
|
||||
00000000111111111111111000000000
|
||||
00000000111111111111110000000000
|
||||
00000000011111111111100000000000
|
||||
00000000011111111111000000000000
|
||||
00000000000111111110000000000000
|
||||
00000000000011111000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_66.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_66.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000010000000000000000
|
||||
00000000000001111100000000000000
|
||||
00000000000111111111000000000000
|
||||
00000000001111111111000000000000
|
||||
00000000001111111111100000000000
|
||||
00000000001111100001111000000000
|
||||
00000000011111000000111000000000
|
||||
00000000011111000000111000000000
|
||||
00000000111111000000111000000000
|
||||
00000001111111000000011100000000
|
||||
00000000111111000000001110000000
|
||||
00000000111110000000001110000000
|
||||
00000001111100000000001110000000
|
||||
00000001111100000000001110000000
|
||||
00000000111110000000000111000000
|
||||
00000000111110000000000111000000
|
||||
00000001111111000000001111000000
|
||||
00000001111111000000001111000000
|
||||
00000001111111000000001110000000
|
||||
00000000111011110000000111000000
|
||||
00000000111011110000001111000000
|
||||
00000000111001110000001110000000
|
||||
00000000111000000000011110000000
|
||||
00000000011100000000011110000000
|
||||
00000000111100000000011110000000
|
||||
00000000011100000000111100000000
|
||||
00000000011110000011111100000000
|
||||
00000000011110001111111100000000
|
||||
00000000001111111111111000000000
|
||||
00000000000111111111110000000000
|
||||
00000000000011111111110000000000
|
||||
00000000000001111100000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_67.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_67.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000011000000000000000
|
||||
00000000000011111110000000000000
|
||||
00000000001111111111000000000000
|
||||
00000000000111111111110000000000
|
||||
00000000011111111111110000000000
|
||||
00000000011111111111111000000000
|
||||
00000000111111111111111000000000
|
||||
00000000111111110001111100000000
|
||||
00000000111111110000011110000000
|
||||
00000000111111110000011110000000
|
||||
00000001111111000000011110000000
|
||||
00000001111111000000011110000000
|
||||
00000011111100000000011110000000
|
||||
00000011111100000000011110000000
|
||||
00000001111100000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000000111100000000000111100000
|
||||
00000000111000000000001111000000
|
||||
00000001111000000000011111000000
|
||||
00000001111000000000011110000000
|
||||
00000001111000000001111110000000
|
||||
00000001111000000011111110000000
|
||||
00000000111110000111111110000000
|
||||
00000000011111111111111100000000
|
||||
00000000011111111111111100000000
|
||||
00000000011111111111110000000000
|
||||
00000000001111111111100000000000
|
||||
00000000000011111111100000000000
|
||||
00000000000000111000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_68.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_68.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000111000000000000000
|
||||
00000000000001111110000000000000
|
||||
00000000000111111111000000000000
|
||||
00000000000111111111100000000000
|
||||
00000000011111111111110000000000
|
||||
00000000111111111111110000000000
|
||||
00000000111111000001111000000000
|
||||
00000000111111000000011100000000
|
||||
00000000111110000000011100000000
|
||||
00000001111110000000011100000000
|
||||
00000001111100000000001100000000
|
||||
00000000111100000000000110000000
|
||||
00000001111100000000000110000000
|
||||
00000001111100000000000110000000
|
||||
00000001111100000000000110000000
|
||||
00000001111110000000000111000000
|
||||
00000001111100000000000111000000
|
||||
00000001111110000000000111000000
|
||||
00000000111111000000000011100000
|
||||
00000000111110000000000011000000
|
||||
00000000111000000000000111000000
|
||||
00000000111000000000001111000000
|
||||
00000000111100000000000111000000
|
||||
00000000111100000000001111000000
|
||||
00000000111100000000011110000000
|
||||
00000000111110000001111110000000
|
||||
00000000001111000001111110000000
|
||||
00000000001111111011111110000000
|
||||
00000000000111111111111000000000
|
||||
00000000000111111111110000000000
|
||||
00000000000001111111100000000000
|
||||
00000000000000111110000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_69.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_69.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000011100000000000000000
|
||||
00000000000011111100000000000000
|
||||
00000000000111111110000000000000
|
||||
00000000000111111111000000000000
|
||||
00000000000111111111000000000000
|
||||
00000000000011111111110000000000
|
||||
00000000000111111001111000000000
|
||||
00000000000111111001111000000000
|
||||
00000000000111111001111000000000
|
||||
00000000001111110001111000000000
|
||||
00000000001111110000001110000000
|
||||
00000000011111000000001110000000
|
||||
00000000011111000000001110000000
|
||||
00000000111110000000001110000000
|
||||
00000000011110000000000111000000
|
||||
00000000111110000000000111000000
|
||||
00000000111100000000000111000000
|
||||
00000001111100000000000111000000
|
||||
00000001111000000000000111000000
|
||||
00000000111100000000000011100000
|
||||
00000000111100000000000011100000
|
||||
00000000111100000000000011100000
|
||||
00000001111000000000000111100000
|
||||
00000000111100000000000011100000
|
||||
00000000011110000000000111100000
|
||||
00000000011110000000001111100000
|
||||
00000000011111100001111111100000
|
||||
00000000011111111111111111000000
|
||||
00000000000111111111111111000000
|
||||
00000000000111111111111110000000
|
||||
00000000000011111111110000000000
|
||||
00000000000000111111000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_7.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_7.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001111100000000000000
|
||||
00000000000111111110000000000000
|
||||
00000000001111111110000000000000
|
||||
00000000011111111111000000000000
|
||||
00000000011111111111110000000000
|
||||
00000000011111111111111000000000
|
||||
00000000011111111111111100000000
|
||||
00000000111111111111111100000000
|
||||
00000000111111111111111110000000
|
||||
00000000111111111100111110000000
|
||||
00000001111111111000011110000000
|
||||
00000001111011110000001110000000
|
||||
00000011110011110000001110000000
|
||||
00000001111000110000000111000000
|
||||
00000001111000100000000111000000
|
||||
00000001111000000000000111000000
|
||||
00000011110000000000000111000000
|
||||
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|
||||
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|
||||
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|
||||
00000001111000000000001111100000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000011111000000
|
||||
00000001111000000001111111000000
|
||||
00000001111000000001111110000000
|
||||
00000001111100000111111100000000
|
||||
00000000111111111111111100000000
|
||||
00000000001111111111111000000000
|
||||
00000000001111111111110000000000
|
||||
00000000001111111111100000000000
|
||||
00000000000111111110000000000000
|
||||
00000000000001111000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_70.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_70.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001111100000000000000
|
||||
00000000000011111111000000000000
|
||||
00000000000111111111100000000000
|
||||
00000000001111111111110000000000
|
||||
00000000001111100011110000000000
|
||||
00000000011111000000111000000000
|
||||
00000000111110000000111000000000
|
||||
00000000111111000000011100000000
|
||||
00000000111111000000001100000000
|
||||
00000001111111000000011100000000
|
||||
00000001111111000000011100000000
|
||||
00000001111110000000001110000000
|
||||
00000001111100000000001110000000
|
||||
00000001111100000000001110000000
|
||||
00000001111000000000001110000000
|
||||
00000001111000000000000111000000
|
||||
00000001111000000000000111000000
|
||||
00000001110000000000001110000000
|
||||
00000000111000000000000111000000
|
||||
00000000111100000000000111000000
|
||||
00000001111000000000001110000000
|
||||
00000001111000000000011110000000
|
||||
00000000111100000000001111000000
|
||||
00000000111000000000011110000000
|
||||
00000000111000000000111110000000
|
||||
00000000111100000001111000000000
|
||||
00000000011110000001111100000000
|
||||
00000000011111001111111000000000
|
||||
00000000001111111111110000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000011111111100000000000
|
||||
00000000000001111100000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_71.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_71.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000011111100000000000000
|
||||
00000000000011111111000000000000
|
||||
00000000000111111111100000000000
|
||||
00000000001111111111110000000000
|
||||
00000000001111111111110000000000
|
||||
00000000011111111111111000000000
|
||||
00000000011111111111111000000000
|
||||
00000000111111000011111100000000
|
||||
00000000111111000000111110000000
|
||||
00000000111111100000111110000000
|
||||
00000001111110000000111100000000
|
||||
00000001111100000000111000000000
|
||||
00000001111000000000011110000000
|
||||
00000011111000000000011110000000
|
||||
00000011110000000000001110000000
|
||||
00000011110000000000001110000000
|
||||
00000011110000000000011110000000
|
||||
00000011110000000000011110000000
|
||||
00000011110000000000011110000000
|
||||
00000011110000000000001111000000
|
||||
00000011110000000000011110000000
|
||||
00000001111000000000011110000000
|
||||
00000001111000000000011110000000
|
||||
00000111110000000000111100000000
|
||||
00000011111110000111111100000000
|
||||
00000011111111111111111000000000
|
||||
00000001111111111111110000000000
|
||||
00000000111111111111110000000000
|
||||
00000000111111111111100000000000
|
||||
00000000000111111111000000000000
|
||||
00000000001111111111000000000000
|
||||
00000000000000111000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_72.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_72.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000011111000000000000000
|
||||
00000000000111111100000000000000
|
||||
00000000001111111111000000000000
|
||||
00000000011111111111100000000000
|
||||
00000000111111111111110000000000
|
||||
00000000111111111111111000000000
|
||||
00000000111111111111111000000000
|
||||
00000000111110001111111000000000
|
||||
00000001111000000011111100000000
|
||||
00000011110000000001111100000000
|
||||
00000001111000000000011110000000
|
||||
00000001110000000000001110000000
|
||||
00000001110000000000000110000000
|
||||
00000011110000000000000111000000
|
||||
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|
||||
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|
||||
00000011110000000000000111000000
|
||||
00000011110000000000000111000000
|
||||
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|
||||
00000011110000000000001111000000
|
||||
00000011110000000000011111000000
|
||||
00000001110000000000111110000000
|
||||
00000001111000000001111110000000
|
||||
00000000111111000111111110000000
|
||||
00000000111111111111111110000000
|
||||
00000000111111111111111100000000
|
||||
00000000011111111111111100000000
|
||||
00000000011111111111111000000000
|
||||
00000000001111111111110000000000
|
||||
00000000001111111111000000000000
|
||||
00000000000111111100000000000000
|
||||
00000000000000000000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_73.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_73.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000011110000000000000000
|
||||
00000000001111111000000000000000
|
||||
00000000011111111110000000000000
|
||||
00000000011111111111000000000000
|
||||
00000000011111111111000000000000
|
||||
00000000111111111111100000000000
|
||||
00000001111111111111110000000000
|
||||
00000001111111111111111000000000
|
||||
00000001111110000111111000000000
|
||||
00000001111000000011111100000000
|
||||
00000001111000000001111100000000
|
||||
00000001111000000000111110000000
|
||||
00000001111000000000111110000000
|
||||
00000011111100000000111110000000
|
||||
00000011111000000000011110000000
|
||||
00000011111000000000001111000000
|
||||
00000011111000000000001111000000
|
||||
00000011111000000000001111000000
|
||||
00000011111000000000001111000000
|
||||
00000011111000000000001111000000
|
||||
00000011111000000000001111000000
|
||||
00000011111000000000001111000000
|
||||
00000011111100000001111111000000
|
||||
00000001111110000111111111000000
|
||||
00000001111111111111111111000000
|
||||
00000001111111111111111110000000
|
||||
00000000111111111111111110000000
|
||||
00000000011111111111111100000000
|
||||
00000000011111111111111100000000
|
||||
00000000011111111111111000000000
|
||||
00000000000111111111111000000000
|
||||
00000000000011111111000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_74.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_74.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000111110000000000000000
|
||||
00000000001111111000000000000000
|
||||
00000000011111111100000000000000
|
||||
00000000011111111111110000000000
|
||||
00000000111111111111110000000000
|
||||
00000000111111111111111000000000
|
||||
00000000111110001111111000000000
|
||||
00000001111110000111111000000000
|
||||
00000001111110000001111100000000
|
||||
00000001111110000000111110000000
|
||||
00000001111110000000111110000000
|
||||
00000001111110000000011110000000
|
||||
00000001111110000000011110000000
|
||||
00000001111110000000011110000000
|
||||
00000011111100000000001111000000
|
||||
00000011111100000000001111000000
|
||||
00000001111100000000001111000000
|
||||
00000001111100000000011111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000011111000000
|
||||
00000001111000000000011111000000
|
||||
00000001111100000000111110000000
|
||||
00000001111100000000111110000000
|
||||
00000001111110000111111100000000
|
||||
00000001111111011111111000000000
|
||||
00000000111111111111111000000000
|
||||
00000000111111111111110000000000
|
||||
00000000011111111111100000000000
|
||||
00000000011111111111000000000000
|
||||
00000000000011111111000000000000
|
||||
00000000000001111000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_75.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_75.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001111100000000000000
|
||||
00000000000111111111000000000000
|
||||
00000000001111111111100000000000
|
||||
00000000001111111111100000000000
|
||||
00000000011111111111111000000000
|
||||
00000000111111111111111100000000
|
||||
00000001111111100111111100000000
|
||||
00000001111111100011111100000000
|
||||
00000001111111000001111110000000
|
||||
00000011111100000000111110000000
|
||||
00000011111100000000111110000000
|
||||
00000011111100000000111111000000
|
||||
00000011111000000000011111000000
|
||||
00000011111000000000011111000000
|
||||
00000011111100000000011111100000
|
||||
00000011111100000000011111100000
|
||||
00000011111100000000001111100000
|
||||
00000011111000000000001111100000
|
||||
00000011111000000000001111100000
|
||||
00000011111000000000001111100000
|
||||
00000011111000000000011111100000
|
||||
00000011111100000000011111100000
|
||||
00000011111100000000111111000000
|
||||
00000011111100000000111111000000
|
||||
00000001111110000000111110000000
|
||||
00000001111111000011111110000000
|
||||
00000000111111111111111100000000
|
||||
00000000111111111111111100000000
|
||||
00000000011111111111111000000000
|
||||
00000000001111111111110000000000
|
||||
00000000001111111111100000000000
|
||||
00000000000111111111000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_76.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_76.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000011111110000000000000
|
||||
00000000000111111111000000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000111111111111000000000
|
||||
00000000001111111111111100000000
|
||||
00000000001111111011111100000000
|
||||
00000000011111100011111110000000
|
||||
00000000111111000001111110000000
|
||||
00000000111111000000011111000000
|
||||
00000001111111000000011111000000
|
||||
00000011111110000000011111000000
|
||||
00000111111110000000011111000000
|
||||
00000111111110000000011111000000
|
||||
00000111111100000000011111000000
|
||||
00000011111110000000001111100000
|
||||
00000011111110000000011111100000
|
||||
00000111111100000000011111000000
|
||||
00000011111100000000011111000000
|
||||
00000111111100000000111111000000
|
||||
00000011111110000000011111000000
|
||||
00000001111110000000011111000000
|
||||
00000001111110000000111110000000
|
||||
00000001111110000001111110000000
|
||||
00000001111110000011111100000000
|
||||
00000000111110000111111100000000
|
||||
00000000011111000111111100000000
|
||||
00000000011111111111111100000000
|
||||
00000000001111111111111000000000
|
||||
00000000001111111111110000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000011111111100000000000
|
||||
00000000000001111111000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_77.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_77.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000111000000000000000000
|
||||
00000000001111100000000000000000
|
||||
00000000011111111000000000000000
|
||||
00000000001111111110000000000000
|
||||
00000000001111111110000000000000
|
||||
00000000111111111111000000000000
|
||||
00000000111110001111100000000000
|
||||
00000001111110001111110000000000
|
||||
00000000111110000011111000000000
|
||||
00000000111100000001111000000000
|
||||
00000001111100000001111100000000
|
||||
00000001111100000000111100000000
|
||||
00000001111100000000111100000000
|
||||
00000001111100000000111110000000
|
||||
00000001111100000000001111000000
|
||||
00000001111100000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000001111000000
|
||||
00000001111100000000000111100000
|
||||
00000001111110000000001111100000
|
||||
00000001111100000000001111000000
|
||||
00000001111100000000011111000000
|
||||
00000001111100000000011110000000
|
||||
00000001111100000001111110000000
|
||||
00000000111111000001111110000000
|
||||
00000000111111000111111110000000
|
||||
00000000011111111111111000000000
|
||||
00000000011111111111110000000000
|
||||
00000000011111111111100000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000001111100000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_78.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_78.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000111000000000000000
|
||||
00000000000001111110000000000000
|
||||
00000000000111111111000000000000
|
||||
00000000000111111111100000000000
|
||||
00000000001111111111110000000000
|
||||
00000000001111111111111000000000
|
||||
00000000011111100001111000000000
|
||||
00000000011111100000111100000000
|
||||
00000000111110000000011100000000
|
||||
00000000111100000000011100000000
|
||||
00000001111000000000011100000000
|
||||
00000000111100000000001110000000
|
||||
00000000111100000000001110000000
|
||||
00000001111000000000011110000000
|
||||
00000011111000000000011110000000
|
||||
00000001111000000000001111000000
|
||||
00000001110000000000011111000000
|
||||
00000001110000000000011111000000
|
||||
00000000111000000000001111000000
|
||||
00000001111000000000011111000000
|
||||
00000001110000000000111111000000
|
||||
00000001110000000001111110000000
|
||||
00000000111000000001111110000000
|
||||
00000000111000000001111110000000
|
||||
00000000111000011111111000000000
|
||||
00000000111111111111110000000000
|
||||
00000000001111111111110000000000
|
||||
00000000001111111111100000000000
|
||||
00000000001111111111000000000000
|
||||
00000000000111111100000000000000
|
||||
00000000000001111000000000000000
|
||||
00000000000000111000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_79.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_79.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001111111000000000000
|
||||
00000000001111111111110000000000
|
||||
00000000001111111111110000000000
|
||||
00000000111111111111111100000000
|
||||
00000000111111111111111100000000
|
||||
00000000111111111111111100000000
|
||||
00000000111111111111111111000000
|
||||
00000000111110000011111111000000
|
||||
00000000111110000011111111000000
|
||||
00000001111100000000111111000000
|
||||
00000011111000000000111110000000
|
||||
00000011111000000000111110000000
|
||||
00000011111000000000011110000000
|
||||
00000011111000000000011110000000
|
||||
00000011111000000000011110000000
|
||||
00000001111000000000011111000000
|
||||
00000001111100000000001111000000
|
||||
00000001111100000000011111000000
|
||||
00000001111100000000011111000000
|
||||
00000001111110000000011111000000
|
||||
00000000111110000000011111000000
|
||||
00000000111110000000011111000000
|
||||
00000000111111100000011111000000
|
||||
00000001111111111111111100000000
|
||||
00000001111111111111111100000000
|
||||
00000000111111111111111000000000
|
||||
00000000111111111111110000000000
|
||||
00000000111111111111110000000000
|
||||
00000000011111111111110000000000
|
||||
00000000001111111111000000000000
|
||||
00000000001111111111000000000000
|
||||
00000000000001111111000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_8.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_8.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001110000000000000000
|
||||
00000000000111111000000000000000
|
||||
00000000001111111000000000000000
|
||||
00000000001111111000000000000000
|
||||
00000000011111111100000000000000
|
||||
00000000011111111111100000000000
|
||||
00000000011111111111111000000000
|
||||
00000000011111111111111100000000
|
||||
00000000111111111111111100000000
|
||||
00000000111111111111111110000000
|
||||
00000000111111111111111110000000
|
||||
00000001111111110000111110000000
|
||||
00000001111110000000011110000000
|
||||
00000000111100000000000111000000
|
||||
00000001111000000000000111000000
|
||||
00000001111000000000000111000000
|
||||
00000001110000000000000111000000
|
||||
00000001110000000000000111000000
|
||||
00000011110000000000000111000000
|
||||
00000011110000000000000111000000
|
||||
00000001111000000000000111100000
|
||||
00000001111000000000001111100000
|
||||
00000001111000000000011111100000
|
||||
00000001111000000000111111100000
|
||||
00000001111000000001111111000000
|
||||
00000000111110011111111110000000
|
||||
00000000111111111111111110000000
|
||||
00000000011111111111111110000000
|
||||
00000000011111111111111100000000
|
||||
00000000001111111111111000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000011111100000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_80.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_80.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000011111111111100000000
|
||||
00000000001111111111111110000000
|
||||
00000000001111111111111110000000
|
||||
00000000011111111111111100000000
|
||||
00000000011111111111111100000000
|
||||
00000000011111111111111100000000
|
||||
00000000111111110001111110000000
|
||||
00000000111111000000111110000000
|
||||
00000000111111000000011110000000
|
||||
00000000111111000000001111000000
|
||||
00000001111110000000001111000000
|
||||
00000001111110000000001111000000
|
||||
00000001111110000000001111000000
|
||||
00000001111100000000001111000000
|
||||
00000001111100000000001111000000
|
||||
00000001111100000000001111000000
|
||||
00000001111100000000001111000000
|
||||
00000001111100000000011111000000
|
||||
00000011111100000000011111000000
|
||||
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|
||||
00000011111100000000111111000000
|
||||
00000001111110000000111111000000
|
||||
00000001111110000001111110000000
|
||||
00000001111111000001111100000000
|
||||
00000000111111111111111100000000
|
||||
00000000111111111111111100000000
|
||||
00000000111111111111111000000000
|
||||
00000000011111111111110000000000
|
||||
00000000011111111111110000000000
|
||||
00000000001111111111000000000000
|
||||
00000000011111111100000000000000
|
||||
00000000000010000000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_81.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_81.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001111100000000000000
|
||||
00000000001111111110000000000000
|
||||
00000000001111111111100000000000
|
||||
00000000011111111111110000000000
|
||||
00000000111111111111111000000000
|
||||
00000000111111000011111000000000
|
||||
00000000111110000011111000000000
|
||||
00000000111110000001111100000000
|
||||
00000001111100000001111100000000
|
||||
00000001111000000000111100000000
|
||||
00000000111000000000011110000000
|
||||
00000001111000000000001111000000
|
||||
00000001111000000000000111000000
|
||||
00000011111000000000000111000000
|
||||
00000011111111000000000111000000
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
00000011111111000000011110000000
|
||||
00000011111111000000111110000000
|
||||
00000011111111000000111100000000
|
||||
00000001111111100000111110000000
|
||||
00000001111111110001111110000000
|
||||
00000001111111110011111100000000
|
||||
00000000111111111111111100000000
|
||||
00000000111111111111110000000000
|
||||
00000000011111111111110000000000
|
||||
00000000001111111111100000000000
|
||||
00000000000011111111000000000000
|
||||
00000000000001111110000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_82.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_82.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000011110000000000000
|
||||
00000000000001111111000000000000
|
||||
00000000000011111111100000000000
|
||||
00000000000111111111100000000000
|
||||
00000000001111111111100000000000
|
||||
00000000011111111111110000000000
|
||||
00000000011111100000111100000000
|
||||
00000000011111000000011100000000
|
||||
00000000111111000000011100000000
|
||||
00000001111111110000011100000000
|
||||
00000001111111111000001100000000
|
||||
00000011111111100000001100000000
|
||||
00000011111111000000011100000000
|
||||
00000011111110000000000110000000
|
||||
00000011111100000000000110000000
|
||||
00000011111000000000000110000000
|
||||
00000011111000000000001110000000
|
||||
00000011111000000000001110000000
|
||||
00000011111000000000001110000000
|
||||
00000011111000000000001111000000
|
||||
00000001111110000000000111000000
|
||||
00000001111111000000001111000000
|
||||
00000000111111000000001111000000
|
||||
00000000111111100000011111000000
|
||||
00000000011111000000011111000000
|
||||
00000000011111000001111110000000
|
||||
00000000011111100011111110000000
|
||||
00000000000111111111111100000000
|
||||
00000000000011111111111000000000
|
||||
00000000000011111111110000000000
|
||||
00000000000001111111100000000000
|
||||
00000000000000111110000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_83.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_83.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001111100000000000000
|
||||
00000000000111111111000000000000
|
||||
00000000001111111111100000000000
|
||||
00000000111111111111110000000000
|
||||
00000001111111111111111000000000
|
||||
00000001111111111111111000000000
|
||||
00000001111111111111111000000000
|
||||
00000001111110000011111100000000
|
||||
00000011111110000000111100000000
|
||||
00000011111100000000111100000000
|
||||
00000011111111000000001111000000
|
||||
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|
||||
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|
||||
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|
||||
00000011111111000000001111000000
|
||||
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|
||||
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|
||||
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|
||||
00000011111110000000001111000000
|
||||
00000011111110000000011111000000
|
||||
00000011111111000001111110000000
|
||||
00000011111111000001111110000000
|
||||
00000001111111000001111100000000
|
||||
00000000111111111111111110000000
|
||||
00000000111111111111111000000000
|
||||
00000000011111111111110000000000
|
||||
00000000011111111111100000000000
|
||||
00000000011111111111100000000000
|
||||
00000000011111111111100000000000
|
||||
00000000001111111111000000000000
|
||||
00000000000111111100000000000000
|
||||
00000000000001111000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_84.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_84.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000011100000000000000
|
||||
00000000000001111110000000000000
|
||||
00000000000011111111000000000000
|
||||
00000000000011111111000000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000111111111110000000000
|
||||
00000000000111111111111000000000
|
||||
00000000000111111111111000000000
|
||||
00000000000111111111111000000000
|
||||
00000000000111110001111000000000
|
||||
00000000000011110001111100000000
|
||||
00000000000011110000111100000000
|
||||
00000000000011110000011100000000
|
||||
00000000000001111000001110000000
|
||||
00000011100001111100001111000000
|
||||
00000011110001111111001111000000
|
||||
00000011111000111111001111000000
|
||||
00000011111000011111001111000000
|
||||
00000011111000001111111111000000
|
||||
00000011111000001111111111000000
|
||||
00000000111110000000001111100000
|
||||
00000000111110000000011111000000
|
||||
00000000011110000000011111000000
|
||||
00000000011111000001111110000000
|
||||
00000000011111000001111110000000
|
||||
00000000011111111111111110000000
|
||||
00000000011111111111111100000000
|
||||
00000000000111111111111100000000
|
||||
00000000000011111111110000000000
|
||||
00000000000011111111110000000000
|
||||
00000000000001111111110000000000
|
||||
00000000000000111111000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_85.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_85.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000011110000000000000
|
||||
00000000000011111111000000000000
|
||||
00000000000011111111000000000000
|
||||
00000000001111111111100000000000
|
||||
00000000001111111111100000000000
|
||||
00000000011111110001110000000000
|
||||
00000001111111110000111000000000
|
||||
00000001111111100000011100000000
|
||||
00000001111110000000001100000000
|
||||
00000011111110000000001100000000
|
||||
00000011111100000000001100000000
|
||||
00000011111000000000001100000000
|
||||
00000111111000000000001110000000
|
||||
00000011111100000000000110000000
|
||||
00000011111100000000000110000000
|
||||
00000001111100000000000110000000
|
||||
00000001111100000000001111000000
|
||||
00000011111100000000001111000000
|
||||
00000011111100000000001110000000
|
||||
00000011111100000000011110000000
|
||||
00000000111110000000001111000000
|
||||
00000000111110000000011111000000
|
||||
00000000011111000000111111000000
|
||||
00000000011111100000111110000000
|
||||
00000000011111100011111100000000
|
||||
00000000011111111111111100000000
|
||||
00000000011111111111111000000000
|
||||
00000000000111111111111000000000
|
||||
00000000000011111111111000000000
|
||||
00000000000011111111110000000000
|
||||
00000000000011111111000000000000
|
||||
00000000000000111100000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_86.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_86.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001110000000000000000
|
||||
00000000000111111100000000000000
|
||||
00000000001111111110000000000000
|
||||
00000000001111111110000000000000
|
||||
00000000011111011110000000000000
|
||||
00000000011111001111000000000000
|
||||
00000000011111000111110000000000
|
||||
00000000111110000011111000000000
|
||||
00000000111110000011111000000000
|
||||
00000001111100000011111100000000
|
||||
00000000111100000001111110000000
|
||||
00000000111100000001111110000000
|
||||
00000000111100000001111110000000
|
||||
00000001111100000001111110000000
|
||||
00000000111110000000111111000000
|
||||
00000000111100000000111111000000
|
||||
00000001111100000000111111000000
|
||||
00000001111000000000111111000000
|
||||
00000001111000000000001111000000
|
||||
00000000111100000000000111100000
|
||||
00000001111100000000000111100000
|
||||
00000001111100000000001111100000
|
||||
00000001111100000000001111000000
|
||||
00000000111110000000001111000000
|
||||
00000000111110000000011111000000
|
||||
00000000111110000000111111000000
|
||||
00000000111110000000111111000000
|
||||
00000000011110000011111100000000
|
||||
00000000001111000111111110000000
|
||||
00000000001111111111111000000000
|
||||
00000000000111111111110000000000
|
||||
00000000000011111111100000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_9.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/0_9.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000010000000000000000000
|
||||
00000000000111000000000000000000
|
||||
00000000011111111110000000000000
|
||||
00000000001111111111110000000000
|
||||
00000000011111111111110000000000
|
||||
00000000111111111111111000000000
|
||||
00000000111111111111111000000000
|
||||
00000000111111111011111100000000
|
||||
00000000111111110000011100000000
|
||||
00000001111110000000011110000000
|
||||
00000001111110000000001110000000
|
||||
00000001111110000000001110000000
|
||||
00000001110000000000000111000000
|
||||
00000001110000000000000111000000
|
||||
00000001110000000000000011000000
|
||||
00000001110000000000000011000000
|
||||
00000011110000000000000111000000
|
||||
00000011100000000000000111000000
|
||||
00000011100000000000000111000000
|
||||
00000011100000000000001111000000
|
||||
00000011100000000000001110000000
|
||||
00000001110000000000011111000000
|
||||
00000001110000000000011110000000
|
||||
00000001110000000000111110000000
|
||||
00000000111000000011111110000000
|
||||
00000000111000000111111100000000
|
||||
00000000111100011111111000000000
|
||||
00000000111111111111110000000000
|
||||
00000000011111111111000000000000
|
||||
00000000011111111111000000000000
|
||||
00000000000111111110000000000000
|
||||
00000000000011110000000000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/1_0.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/1_0.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000001000000000000000000
|
||||
00000000000111111000000000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000111111111100000000000
|
||||
00000000000011111111110000000000
|
||||
00000000000011111111110000000000
|
||||
00000000011111111111100000000000
|
||||
00000000001111111111110000000000
|
||||
00000000011111111111000000000000
|
||||
00000000011111111111000000000000
|
||||
00000000001111111111000000000000
|
||||
00000000001111111111000000000000
|
||||
00000000011111111111100000000000
|
||||
00000000111111111110000000000000
|
||||
00000000111111111110000000000000
|
||||
00000001111111111111000000000000
|
||||
00000011111111111110000000000000
|
||||
00000011111111111110000000000000
|
||||
00000001111111111111000000000000
|
||||
00000001111111111111000000000000
|
||||
00000000111111111100000000000000
|
||||
00000000011111111110000000000000
|
||||
00000000011111111100000000000000
|
||||
00000000001111111110000000000000
|
||||
00000000001111111110000000000000
|
||||
00000000001111111110000000000000
|
||||
00000000001111111111000000000000
|
||||
00000000000111111111000000000000
|
||||
00000000001111111111100000000000
|
||||
00000000000111111111111100000000
|
||||
00000000000011111111111100000000
|
||||
00000000000001111111111000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/1_1.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/1_1.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000001111100000000000
|
||||
00000000000000001111110000000000
|
||||
00000000000000001111111000000000
|
||||
00000000000000011111111000000000
|
||||
00000000000000111111111000000000
|
||||
00000000000000011111111000000000
|
||||
00000000000000011111111000000000
|
||||
00000000000000111111110000000000
|
||||
00000000000000111111100000000000
|
||||
00000000000001111111100000000000
|
||||
00000000000001111111110000000000
|
||||
00000000000001111111110000000000
|
||||
00000000000001111111100000000000
|
||||
00000000000011111110000000000000
|
||||
00000000011111111110000000000000
|
||||
00000001111111111111000000000000
|
||||
00000011111111111111000000000000
|
||||
00000011111111111111000000000000
|
||||
00000011111111111110000000000000
|
||||
00000000001111111111000000000000
|
||||
00000000000000111111000000000000
|
||||
00000000000001111111000000000000
|
||||
00000000000111111110000000000000
|
||||
00000000000011111111000000000000
|
||||
00000000000011111111000000000000
|
||||
00000000000011111111100000000000
|
||||
00000000000011111111100000000000
|
||||
00000000000000111111110000000000
|
||||
00000000000000001111111111000000
|
||||
00000000000000001111111111000000
|
||||
00000000000000000111111111000000
|
||||
00000000000000000001111000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/1_10.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/1_10.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000000001111100000000
|
||||
00000000000000000111111100000000
|
||||
00000000000000001111111110000000
|
||||
00000000000000001111111110000000
|
||||
00000000000000001111111111000000
|
||||
00000000000001111111111110000000
|
||||
00000000000111111111111110000000
|
||||
00000000001111111111111110000000
|
||||
00000000011111111111111100000000
|
||||
00000000111111111111111100000000
|
||||
00000001111111111111111000000000
|
||||
00000011111111111111111000000000
|
||||
00000011111111111111111100000000
|
||||
00000001111111111111111100000000
|
||||
00000001111000111111111000000000
|
||||
00000000100000111111111000000000
|
||||
00000000000000011111111000000000
|
||||
00000000000000011111111000000000
|
||||
00000000000000011111111000000000
|
||||
00000000000000111111110000000000
|
||||
00000000000000111111110000000000
|
||||
00000000000000111111111000000000
|
||||
00000000000000011111111000000000
|
||||
00000000000000111111111000000000
|
||||
00000000000000111111111000000000
|
||||
00000000000000011111111000000000
|
||||
00000000000000011111111000000000
|
||||
00000000000000001111111100000000
|
||||
00000000000000011111111100000000
|
||||
00000000000000001111111100000000
|
||||
00000000000000000111111000000000
|
||||
00000000000000000011110000000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/1_11.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/1_11.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000000000000110000000000
|
||||
00000000000000000011111100000000
|
||||
00000000000000000011111110000000
|
||||
00000000000000000011111110000000
|
||||
00000000000000000011111110000000
|
||||
00000000000000000011111110000000
|
||||
00000000000000000111111110000000
|
||||
00000000000000000111111110000000
|
||||
00000000000000001111111110000000
|
||||
00000000000000011111111110000000
|
||||
00000000000000111111111100000000
|
||||
00000000000001111111111100000000
|
||||
00000000000001111111111100000000
|
||||
00000000001111111111111100000000
|
||||
00000000011111111111111100000000
|
||||
00000000011111111111111000000000
|
||||
00000000111111111111111100000000
|
||||
00000001111111100111111100000000
|
||||
00000001111111000111111100000000
|
||||
00000011111111000011111100000000
|
||||
00000001111110000011111100000000
|
||||
00000000000000000011111100000000
|
||||
00000000000000000011111100000000
|
||||
00000000000000000011111000000000
|
||||
00000000000000000011111000000000
|
||||
00000000000000000011111000000000
|
||||
00000000000000000011111000000000
|
||||
00000000000000000011111000000000
|
||||
00000000000000000011111100000000
|
||||
00000000000000000011111110000000
|
||||
00000000000000000011111110000000
|
||||
00000000000000000000111100000000
|
||||
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/1_12.txt
Normal file
32
机器学习/殷康龙/机器学习实战1源代码/2.KNN/testDigits/1_12.txt
Normal file
@@ -0,0 +1,32 @@
|
||||
00000000000011111000000000000000
|
||||
00000000000001111100000000000000
|
||||
00000000000111111111000000000000
|
||||
00000000000011111111100000000000
|
||||
00000000001111111111100000000000
|
||||
00000000000111111111110000000000
|
||||
00000000000111111111110000000000
|
||||
00000000000111111111110000000000
|
||||
00000000000011111111111000000000
|
||||
00000000000011111111111000000000
|
||||
00000000000001111111111100000000
|
||||
00000000000001111111111100000000
|
||||
00000000000001111111111100000000
|
||||
00000000000011111111111110000000
|
||||
00000000000011111111111110000000
|
||||
00000000000001111111111100000000
|
||||
00000000000111111111111100000000
|
||||
00000000000111111111111100000000
|
||||
00000000000011111111111110000000
|
||||
00000000000011111111111110000000
|
||||
00000000000001111111111100000000
|
||||
00000000000011111111111100000000
|
||||
00000000000011111111111000000000
|
||||
00000000000001111111111110000000
|
||||
00000000000111111111111100000000
|
||||
00000000000011111111111110000000
|
||||
00000000000011111111111110000000
|
||||
00000000000011111111111110000000
|
||||
00000000000111111111111111000000
|
||||
00000000000111111111111111000000
|
||||
00000000000000111111111110000000
|
||||
00000000000000111111111000000000
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user