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Documentation for 0d766b0f8a
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realstealthninja
@@ -298,7 +298,7 @@ Here is the call graph for this function:</div>
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</div><!-- fragment --><p> <img src="https://raw.githubusercontent.com/TheAlgorithms/C-Plus-Plus/docs/images/machine_learning/kohonen/test1.svg" alt="Sample execution
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output" style="pointer-events: none;" class="inline"/> </p>
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<div class="fragment"><div class="line"><span class="lineno"> 233</span> {</div>
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<div class="line"><span class="lineno"> 234</span> <span class="keywordtype">int</span> j = 0, <a class="code hl_variable" href="../../d6/d42/data__structures_2sparse__table_8cpp.html#a10f3ffb3f6f7e1b83d556b9c8de89a5d">N</a> = 500;</div>
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<div class="line"><span class="lineno"> 234</span> <span class="keywordtype">int</span> j = 0, <a class="code hl_variable" href="../../d8/dab/sparse__table_8cpp.html#a10f3ffb3f6f7e1b83d556b9c8de89a5d">N</a> = 500;</div>
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<div class="line"><span class="lineno"> 235</span> <span class="keywordtype">int</span> features = 2;</div>
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<div class="line"><span class="lineno"> 236</span> <span class="keywordtype">int</span> num_out = 50;</div>
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<div class="line"><span class="lineno"> 237</span> <a class="code hl_classRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector<std::valarray<double></a>> X(N);</div>
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@@ -327,11 +327,11 @@ Here is the call graph for this function:</div>
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<div class="line"><span class="lineno"> 260</span> kohonen_som_tracer(X, &W, 0.1); <span class="comment">// train the SOM</span></div>
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<div class="line"><span class="lineno"> 261</span> <a class="code hl_function" href="../../d9/d66/group__machine__learning.html#gae0208548f8b393528e5db01717e88e67">save_nd_data</a>(<span class="stringliteral">"w12.csv"</span>, W); <span class="comment">// save the resultant weights</span></div>
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<div class="line"><span class="lineno"> 262</span>}</div>
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<div class="ttc" id="adata__structures_2sparse__table_8cpp_html_a10f3ffb3f6f7e1b83d556b9c8de89a5d"><div class="ttname"><a href="../../d6/d42/data__structures_2sparse__table_8cpp.html#a10f3ffb3f6f7e1b83d556b9c8de89a5d">data_structures::sparse_table::N</a></div><div class="ttdeci">constexpr uint32_t N</div><div class="ttdoc">A struct to represent sparse table for min() as their invariant function, for the given array A....</div><div class="ttdef"><b>Definition</b> sparse_table.cpp:48</div></div>
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<div class="ttc" id="agroup__machine__learning_html_gae0208548f8b393528e5db01717e88e67"><div class="ttname"><a href="../../d9/d66/group__machine__learning.html#gae0208548f8b393528e5db01717e88e67">save_nd_data</a></div><div class="ttdeci">int save_nd_data(const char *fname, const std::vector< std::valarray< double > > &X)</div><div class="ttdef"><b>Definition</b> kohonen_som_trace.cpp:58</div></div>
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<div class="ttc" id="agroup__machine__learning_html_gaf5ce14f026d6d231bef29161bac2b485"><div class="ttname"><a href="../../d9/d66/group__machine__learning.html#gaf5ce14f026d6d231bef29161bac2b485">_random</a></div><div class="ttdeci">double _random(double a, double b)</div><div class="ttdef"><b>Definition</b> kohonen_som_topology.cpp:53</div></div>
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<div class="ttc" id="akohonen__som__trace_8cpp_html_ae571600aa42a81bc14a4a602ea5ff00d"><div class="ttname"><a href="#ae571600aa42a81bc14a4a602ea5ff00d">test_circle</a></div><div class="ttdeci">void test_circle(std::vector< std::valarray< double > > *data)</div><div class="ttdef"><b>Definition</b> kohonen_som_trace.cpp:196</div></div>
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<div class="ttc" id="amax_html"><div class="ttname"><a href="http://en.cppreference.com/w/cpp/algorithm/max.html">std::max</a></div><div class="ttdeci">T max(T... args)</div></div>
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<div class="ttc" id="asparse__table_8cpp_html_a10f3ffb3f6f7e1b83d556b9c8de89a5d"><div class="ttname"><a href="../../d8/dab/sparse__table_8cpp.html#a10f3ffb3f6f7e1b83d556b9c8de89a5d">data_structures::sparse_table::N</a></div><div class="ttdeci">constexpr uint32_t N</div><div class="ttdoc">A struct to represent sparse table for min() as their invariant function, for the given array A....</div><div class="ttdef"><b>Definition</b> sparse_table.cpp:48</div></div>
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<div class="ttc" id="avalarray_html"><div class="ttname"><a href="http://en.cppreference.com/w/cpp/numeric/valarray.html">std::valarray</a></div></div>
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<div class="ttc" id="avector_html"><div class="ttname"><a href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector</a></div></div>
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</div><!-- fragment --><div class="dynheader">
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@@ -368,7 +368,7 @@ Here is the call graph for this function:</div>
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</div><!-- fragment --><p> <img src="https://raw.githubusercontent.com/TheAlgorithms/C-Plus-Plus/docs/images/machine_learning/kohonen/test2.svg" alt="Sample execution
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output" style="pointer-events: none;" class="inline"/> </p>
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<div class="fragment"><div class="line"><span class="lineno"> 315</span> {</div>
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<div class="line"><span class="lineno"> 316</span> <span class="keywordtype">int</span> j = 0, <a class="code hl_variable" href="../../d6/d42/data__structures_2sparse__table_8cpp.html#a10f3ffb3f6f7e1b83d556b9c8de89a5d">N</a> = 500;</div>
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<div class="line"><span class="lineno"> 316</span> <span class="keywordtype">int</span> j = 0, <a class="code hl_variable" href="../../d8/dab/sparse__table_8cpp.html#a10f3ffb3f6f7e1b83d556b9c8de89a5d">N</a> = 500;</div>
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<div class="line"><span class="lineno"> 317</span> <span class="keywordtype">int</span> features = 2;</div>
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<div class="line"><span class="lineno"> 318</span> <span class="keywordtype">int</span> num_out = 20;</div>
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<div class="line"><span class="lineno"> 319</span> <a class="code hl_classRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector<std::valarray<double></a>> X(N);</div>
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@@ -432,7 +432,7 @@ Here is the call graph for this function:</div>
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</div><!-- fragment --><p> <img src="https://raw.githubusercontent.com/TheAlgorithms/C-Plus-Plus/docs/images/machine_learning/kohonen/test3.svg" alt="Sample execution
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output" style="pointer-events: none;" class="inline"/> </p>
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<div class="fragment"><div class="line"><span class="lineno"> 414</span> {</div>
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<div class="line"><span class="lineno"> 415</span> <span class="keywordtype">int</span> j = 0, <a class="code hl_variable" href="../../d6/d42/data__structures_2sparse__table_8cpp.html#a10f3ffb3f6f7e1b83d556b9c8de89a5d">N</a> = 200;</div>
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<div class="line"><span class="lineno"> 415</span> <span class="keywordtype">int</span> j = 0, <a class="code hl_variable" href="../../d8/dab/sparse__table_8cpp.html#a10f3ffb3f6f7e1b83d556b9c8de89a5d">N</a> = 200;</div>
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<div class="line"><span class="lineno"> 416</span> <span class="keywordtype">int</span> features = 3;</div>
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<div class="line"><span class="lineno"> 417</span> <span class="keywordtype">int</span> num_out = 20;</div>
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<div class="line"><span class="lineno"> 418</span> <a class="code hl_classRef" target="_blank" href="http://en.cppreference.com/w/cpp/container/vector.html">std::vector<std::valarray<double></a>> X(N);</div>
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@@ -501,7 +501,7 @@ Here is the call graph for this function:</div>
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</dd>
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</dl>
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<div class="fragment"><div class="line"><span class="lineno"> 359</span> {</div>
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<div class="line"><span class="lineno"> 360</span> <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code hl_variable" href="../../d6/d42/data__structures_2sparse__table_8cpp.html#a10f3ffb3f6f7e1b83d556b9c8de89a5d">N</a> = <a class="code hl_variable" href="../../d1/df3/hash__search_8cpp.html#a6e1a77282bc65ad359d753d25df23243">data</a>->size();</div>
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<div class="line"><span class="lineno"> 360</span> <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code hl_variable" href="../../d8/dab/sparse__table_8cpp.html#a10f3ffb3f6f7e1b83d556b9c8de89a5d">N</a> = <a class="code hl_variable" href="../../d1/df3/hash__search_8cpp.html#a6e1a77282bc65ad359d753d25df23243">data</a>->size();</div>
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<div class="line"><span class="lineno"> 361</span> <span class="keyword">const</span> <span class="keywordtype">double</span> R = 0.1; <span class="comment">// radius of cluster</span></div>
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<div class="line"><span class="lineno"> 362</span> <span class="keywordtype">int</span> i = 0;</div>
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<div class="line"><span class="lineno"> 363</span> <span class="keyword">const</span> <span class="keywordtype">int</span> num_classes = 8;</div>
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@@ -520,7 +520,7 @@ Here is the call graph for this function:</div>
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<div class="line"><span class="lineno"> 376</span><span class="preprocessor">#ifdef _OPENMP</span></div>
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<div class="line"><span class="lineno"> 377</span><span class="preprocessor">#pragma omp for</span></div>
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<div class="line"><span class="lineno"> 378</span><span class="preprocessor">#endif</span></div>
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<div class="line"><span class="lineno"> 379</span> <span class="keywordflow">for</span> (i = 0; i < <a class="code hl_variable" href="../../d6/d42/data__structures_2sparse__table_8cpp.html#a10f3ffb3f6f7e1b83d556b9c8de89a5d">N</a>; i++) {</div>
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<div class="line"><span class="lineno"> 379</span> <span class="keywordflow">for</span> (i = 0; i < <a class="code hl_variable" href="../../d8/dab/sparse__table_8cpp.html#a10f3ffb3f6f7e1b83d556b9c8de89a5d">N</a>; i++) {</div>
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<div class="line"><span class="lineno"> 380</span> <span class="keywordtype">int</span> cls =</div>
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<div class="line"><span class="lineno"> 381</span> <a class="code hl_functionRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/random/rand.html">std::rand</a>() % num_classes; <span class="comment">// select a random class for the point</span></div>
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<div class="line"><span class="lineno"> 382</span> </div>
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@@ -575,7 +575,7 @@ y &=& r\sin\theta
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</dd>
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</dl>
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<div class="fragment"><div class="line"><span class="lineno"> 196</span> {</div>
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<div class="line"><span class="lineno"> 197</span> <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code hl_variable" href="../../d6/d42/data__structures_2sparse__table_8cpp.html#a10f3ffb3f6f7e1b83d556b9c8de89a5d">N</a> = <a class="code hl_variable" href="../../d1/df3/hash__search_8cpp.html#a6e1a77282bc65ad359d753d25df23243">data</a>->size();</div>
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<div class="line"><span class="lineno"> 197</span> <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code hl_variable" href="../../d8/dab/sparse__table_8cpp.html#a10f3ffb3f6f7e1b83d556b9c8de89a5d">N</a> = <a class="code hl_variable" href="../../d1/df3/hash__search_8cpp.html#a6e1a77282bc65ad359d753d25df23243">data</a>->size();</div>
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<div class="line"><span class="lineno"> 198</span> <span class="keyword">const</span> <span class="keywordtype">double</span> R = 0.75, dr = 0.3;</div>
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<div class="line"><span class="lineno"> 199</span> <span class="keywordtype">double</span> a_t = 0., b_t = 2.f * M_PI; <span class="comment">// theta random between 0 and 2*pi</span></div>
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<div class="line"><span class="lineno"> 200</span> <span class="keywordtype">double</span> a_r = R - dr, b_r = R + dr; <span class="comment">// radius random between R-dr and R+dr</span></div>
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@@ -584,7 +584,7 @@ y &=& r\sin\theta
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<div class="line"><span class="lineno"> 203</span><span class="preprocessor">#ifdef _OPENMP</span></div>
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<div class="line"><span class="lineno"> 204</span><span class="preprocessor">#pragma omp for</span></div>
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<div class="line"><span class="lineno"> 205</span><span class="preprocessor">#endif</span></div>
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<div class="line"><span class="lineno"> 206</span> <span class="keywordflow">for</span> (i = 0; i < <a class="code hl_variable" href="../../d6/d42/data__structures_2sparse__table_8cpp.html#a10f3ffb3f6f7e1b83d556b9c8de89a5d">N</a>; i++) {</div>
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<div class="line"><span class="lineno"> 206</span> <span class="keywordflow">for</span> (i = 0; i < <a class="code hl_variable" href="../../d8/dab/sparse__table_8cpp.html#a10f3ffb3f6f7e1b83d556b9c8de89a5d">N</a>; i++) {</div>
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<div class="line"><span class="lineno"> 207</span> <span class="keywordtype">double</span> r = <a class="code hl_function" href="../../d9/d66/group__machine__learning.html#gaf5ce14f026d6d231bef29161bac2b485">_random</a>(a_r, b_r); <span class="comment">// random radius</span></div>
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<div class="line"><span class="lineno"> 208</span> <span class="keywordtype">double</span> theta = <a class="code hl_function" href="../../d9/d66/group__machine__learning.html#gaf5ce14f026d6d231bef29161bac2b485">_random</a>(a_t, b_t); <span class="comment">// random theta</span></div>
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<div class="line"><span class="lineno"> 209</span> <a class="code hl_variable" href="../../d1/df3/hash__search_8cpp.html#a6e1a77282bc65ad359d753d25df23243">data</a>[0][i][0] = r * <a class="code hl_functionRef" target="_blank" href="http://en.cppreference.com/w/cpp/numeric/math/cos.html">cos</a>(theta); <span class="comment">// convert from polar to cartesian</span></div>
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@@ -632,14 +632,14 @@ y &=& \delta y + \frac{\sin(2\theta)}{2}
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</dd>
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</dl>
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<div class="fragment"><div class="line"><span class="lineno"> 277</span> {</div>
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<div class="line"><span class="lineno"> 278</span> <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code hl_variable" href="../../d6/d42/data__structures_2sparse__table_8cpp.html#a10f3ffb3f6f7e1b83d556b9c8de89a5d">N</a> = <a class="code hl_variable" href="../../d1/df3/hash__search_8cpp.html#a6e1a77282bc65ad359d753d25df23243">data</a>->size();</div>
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<div class="line"><span class="lineno"> 278</span> <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code hl_variable" href="../../d8/dab/sparse__table_8cpp.html#a10f3ffb3f6f7e1b83d556b9c8de89a5d">N</a> = <a class="code hl_variable" href="../../d1/df3/hash__search_8cpp.html#a6e1a77282bc65ad359d753d25df23243">data</a>->size();</div>
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<div class="line"><span class="lineno"> 279</span> <span class="keyword">const</span> <span class="keywordtype">double</span> dr = 0.2;</div>
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<div class="line"><span class="lineno"> 280</span> <span class="keywordtype">int</span> i = 0;</div>
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<div class="line"><span class="lineno"> 281</span> </div>
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<div class="line"><span class="lineno"> 282</span><span class="preprocessor">#ifdef _OPENMP</span></div>
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<div class="line"><span class="lineno"> 283</span><span class="preprocessor">#pragma omp for</span></div>
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<div class="line"><span class="lineno"> 284</span><span class="preprocessor">#endif</span></div>
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<div class="line"><span class="lineno"> 285</span> <span class="keywordflow">for</span> (i = 0; i < <a class="code hl_variable" href="../../d6/d42/data__structures_2sparse__table_8cpp.html#a10f3ffb3f6f7e1b83d556b9c8de89a5d">N</a>; i++) {</div>
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<div class="line"><span class="lineno"> 285</span> <span class="keywordflow">for</span> (i = 0; i < <a class="code hl_variable" href="../../d8/dab/sparse__table_8cpp.html#a10f3ffb3f6f7e1b83d556b9c8de89a5d">N</a>; i++) {</div>
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<div class="line"><span class="lineno"> 286</span> <span class="keywordtype">double</span> dx = <a class="code hl_function" href="../../d9/d66/group__machine__learning.html#gaf5ce14f026d6d231bef29161bac2b485">_random</a>(-dr, dr); <span class="comment">// random change in x</span></div>
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<div class="line"><span class="lineno"> 287</span> <span class="keywordtype">double</span> dy = <a class="code hl_function" href="../../d9/d66/group__machine__learning.html#gaf5ce14f026d6d231bef29161bac2b485">_random</a>(-dr, dr); <span class="comment">// random change in y</span></div>
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<div class="line"><span class="lineno"> 288</span> <span class="keywordtype">double</span> theta = <a class="code hl_function" href="../../d9/d66/group__machine__learning.html#gaf5ce14f026d6d231bef29161bac2b485">_random</a>(0, M_PI); <span class="comment">// random theta</span></div>
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