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<a href="mean__shift_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#ifndef MLPACK_METHODS_MEAN_SHIFT_MEAN_SHIFT_HPP</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#define MLPACK_METHODS_MEAN_SHIFT_MEAN_SHIFT_HPP</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <<a class="code" href="prereqs_8hpp.html">mlpack/prereqs.hpp</a>></span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <<a class="code" href="gaussian__kernel_8hpp.html">mlpack/core/kernels/gaussian_kernel.hpp</a>></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include <<a class="code" href="kernel__traits_8hpp.html">mlpack/core/kernels/kernel_traits.hpp</a>></span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include <<a class="code" href="lmetric_8hpp.html">mlpack/core/metrics/lmetric.hpp</a>></span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include <boost/utility.hpp></span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="keyword">namespace </span><a class="code" href="namespacemlpack.html">mlpack</a> {</div><div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="namespacemlpack_1_1meanshift.html"> 23</a></span> <span class="keyword">namespace </span>meanshift {</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword">template</span><<span class="keywordtype">bool</span> UseKernel = <span class="keyword">false</span>,</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">typename</span> KernelType = <a class="code" href="classmlpack_1_1kernel_1_1GaussianKernel.html">kernel::GaussianKernel</a>,</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">typename</span> MatType = arma::mat></div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="classmlpack_1_1meanshift_1_1MeanShift.html"> 49</a></span> <span class="keyword">class </span><a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html">MeanShift</a></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> {</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#a7096a27c13dcae8541e3c34794af9b8c">MeanShift</a>(<span class="keyword">const</span> <span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#ac58cdbc587030f79cb05658d0221a88a">radius</a> = 0,</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#ad84529171961bfad9b63e9c0bf76384f">maxIterations</a> = 1000,</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keyword">const</span> KernelType <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#a1afba2513233536f47117a7b86e8384b">kernel</a> = KernelType());</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#af0bf781763e805cdc361e38fc536b0db">EstimateRadius</a>(<span class="keyword">const</span> MatType& data, <span class="keyword">const</span> <span class="keywordtype">double</span> ratio = 0.2);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#a634cc8cb47c41dba7c53cb568a954806">Cluster</a>(<span class="keyword">const</span> MatType& data,</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  arma::Col<size_t>& assignments,</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  arma::mat& centroids,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordtype">bool</span> useSeeds = <span class="keyword">true</span>);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00090"></a><span class="lineno"><a class="line" href="classmlpack_1_1meanshift_1_1MeanShift.html#a639165a033c556224b044704bcf5f812"> 90</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#a639165a033c556224b044704bcf5f812">MaxIterations</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#ad84529171961bfad9b63e9c0bf76384f">maxIterations</a>; }</div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="classmlpack_1_1meanshift_1_1MeanShift.html#a542a7b9f360106cea4b7c549d3dcb3c6"> 92</a></span>  <span class="keywordtype">size_t</span>& <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#a542a7b9f360106cea4b7c549d3dcb3c6">MaxIterations</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#ad84529171961bfad9b63e9c0bf76384f">maxIterations</a>; }</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="classmlpack_1_1meanshift_1_1MeanShift.html#aac1698b2653c2c00494ecfc6775e6652"> 95</a></span>  <span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#aac1698b2653c2c00494ecfc6775e6652">Radius</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#ac58cdbc587030f79cb05658d0221a88a">radius</a>; }</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#aac1698b2653c2c00494ecfc6775e6652">Radius</a>(<span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#ac58cdbc587030f79cb05658d0221a88a">radius</a>);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> </div><div class="line"><a name="l00100"></a><span class="lineno"><a class="line" href="classmlpack_1_1meanshift_1_1MeanShift.html#a83f62187a300936a8901be14aceff2a9"> 100</a></span>  <span class="keyword">const</span> KernelType& <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#a83f62187a300936a8901be14aceff2a9">Kernel</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#a1afba2513233536f47117a7b86e8384b">kernel</a>; }</div><div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="classmlpack_1_1meanshift_1_1MeanShift.html#ac29accd0bc21add072fad9b4e6a3893e"> 102</a></span>  KernelType& <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#ac29accd0bc21add072fad9b4e6a3893e">Kernel</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#a1afba2513233536f47117a7b86e8384b">kernel</a>; }</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#a49525d3a9a710c8e0329ba7f77d19d64">GenSeeds</a>(<span class="keyword">const</span> MatType& data,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> binSize,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> minFreq,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  MatType& seeds);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keyword">template</span><<span class="keywordtype">bool</span> ApplyKernel = UseKernel></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keyword">typename</span> std::enable_if<ApplyKernel, bool>::type</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#aaeed62034a5df967dcae5e2a8e57f0f4">CalculateCentroid</a>(<span class="keyword">const</span> MatType& data,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keyword">const</span> std::vector<size_t>& neighbors,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keyword">const</span> std::vector<double>& distances,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  arma::colvec& centroid);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keyword">template</span><<span class="keywordtype">bool</span> ApplyKernel = UseKernel></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">typename</span> std::enable_if<!ApplyKernel, bool>::type</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#aaeed62034a5df967dcae5e2a8e57f0f4">CalculateCentroid</a>(<span class="keyword">const</span> MatType& data,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keyword">const</span> std::vector<size_t>& neighbors,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keyword">const</span> std::vector<double>&, <span class="comment">/*unused*/</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  arma::colvec& centroid);</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div><div class="line"><a name="l00158"></a><span class="lineno"><a class="line" href="classmlpack_1_1meanshift_1_1MeanShift.html#ac58cdbc587030f79cb05658d0221a88a"> 158</a></span>  <span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#ac58cdbc587030f79cb05658d0221a88a">radius</a>;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00161"></a><span class="lineno"><a class="line" href="classmlpack_1_1meanshift_1_1MeanShift.html#ad84529171961bfad9b63e9c0bf76384f"> 161</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#ad84529171961bfad9b63e9c0bf76384f">maxIterations</a>;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div><div class="line"><a name="l00164"></a><span class="lineno"><a class="line" href="classmlpack_1_1meanshift_1_1MeanShift.html#a1afba2513233536f47117a7b86e8384b"> 164</a></span>  KernelType <a class="code" href="classmlpack_1_1meanshift_1_1MeanShift.html#a1afba2513233536f47117a7b86e8384b">kernel</a>;</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> };</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> } <span class="comment">// namespace meanshift</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> } <span class="comment">// namespace mlpack</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="comment">// Include implementation.</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="preprocessor">#include "mean_shift_impl.hpp"</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> <span class="preprocessor">#endif // MLPACK_METHODS_MEAN_SHIFT_MEAN_SHIFT_HPP</span></div><div class="ttc" id="lmetric_8hpp_html"><div class="ttname"><a href="lmetric_8hpp.html">lmetric.hpp</a></div></div>
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<div class="ttc" id="classmlpack_1_1meanshift_1_1MeanShift_html_af0bf781763e805cdc361e38fc536b0db"><div class="ttname"><a href="classmlpack_1_1meanshift_1_1MeanShift.html#af0bf781763e805cdc361e38fc536b0db">mlpack::meanshift::MeanShift::EstimateRadius</a></div><div class="ttdeci">double EstimateRadius(const MatType &data, const double ratio=0.2)</div><div class="ttdoc">Give an estimation of radius based on given dataset. </div></div>
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<div class="ttc" id="namespacemlpack_html"><div class="ttname"><a href="namespacemlpack.html">mlpack</a></div><div class="ttdoc">Linear algebra utility functions, generally performed on matrices or vectors. </div><div class="ttdef"><b>Definition:</b> <a href="binarize_8hpp_source.html#l00018">binarize.hpp:18</a></div></div>
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<div class="ttc" id="classmlpack_1_1meanshift_1_1MeanShift_html_ac29accd0bc21add072fad9b4e6a3893e"><div class="ttname"><a href="classmlpack_1_1meanshift_1_1MeanShift.html#ac29accd0bc21add072fad9b4e6a3893e">mlpack::meanshift::MeanShift::Kernel</a></div><div class="ttdeci">KernelType & Kernel()</div><div class="ttdoc">Modify the kernel. </div><div class="ttdef"><b>Definition:</b> <a href="mean__shift_8hpp_source.html#l00102">mean_shift.hpp:102</a></div></div>
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<div class="ttc" id="prereqs_8hpp_html"><div class="ttname"><a href="prereqs_8hpp.html">prereqs.hpp</a></div><div class="ttdoc">The core includes that mlpack expects; standard C++ includes and Armadillo. </div></div>
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<div class="ttc" id="classmlpack_1_1meanshift_1_1MeanShift_html"><div class="ttname"><a href="classmlpack_1_1meanshift_1_1MeanShift.html">mlpack::meanshift::MeanShift</a></div><div class="ttdoc">This class implements mean shift clustering. </div><div class="ttdef"><b>Definition:</b> <a href="mean__shift_8hpp_source.html#l00049">mean_shift.hpp:49</a></div></div>
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<div class="ttc" id="classmlpack_1_1meanshift_1_1MeanShift_html_a639165a033c556224b044704bcf5f812"><div class="ttname"><a href="classmlpack_1_1meanshift_1_1MeanShift.html#a639165a033c556224b044704bcf5f812">mlpack::meanshift::MeanShift::MaxIterations</a></div><div class="ttdeci">size_t MaxIterations() const </div><div class="ttdoc">Get the maximum number of iterations. </div><div class="ttdef"><b>Definition:</b> <a href="mean__shift_8hpp_source.html#l00090">mean_shift.hpp:90</a></div></div>
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<div class="ttc" id="classmlpack_1_1meanshift_1_1MeanShift_html_a7096a27c13dcae8541e3c34794af9b8c"><div class="ttname"><a href="classmlpack_1_1meanshift_1_1MeanShift.html#a7096a27c13dcae8541e3c34794af9b8c">mlpack::meanshift::MeanShift::MeanShift</a></div><div class="ttdeci">MeanShift(const double radius=0, const size_t maxIterations=1000, const KernelType kernel=KernelType())</div><div class="ttdoc">Create a mean shift object and set the parameters which mean shift will be run with. </div></div>
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<div class="ttc" id="classmlpack_1_1meanshift_1_1MeanShift_html_a634cc8cb47c41dba7c53cb568a954806"><div class="ttname"><a href="classmlpack_1_1meanshift_1_1MeanShift.html#a634cc8cb47c41dba7c53cb568a954806">mlpack::meanshift::MeanShift::Cluster</a></div><div class="ttdeci">void Cluster(const MatType &data, arma::Col< size_t > &assignments, arma::mat &centroids, bool useSeeds=true)</div><div class="ttdoc">Perform mean shift clustering on the data, returning a list of cluster assignments and centroids...</div></div>
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<div class="ttc" id="gaussian__kernel_8hpp_html"><div class="ttname"><a href="gaussian__kernel_8hpp.html">gaussian_kernel.hpp</a></div></div>
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<div class="ttc" id="classmlpack_1_1meanshift_1_1MeanShift_html_aaeed62034a5df967dcae5e2a8e57f0f4"><div class="ttname"><a href="classmlpack_1_1meanshift_1_1MeanShift.html#aaeed62034a5df967dcae5e2a8e57f0f4">mlpack::meanshift::MeanShift::CalculateCentroid</a></div><div class="ttdeci">std::enable_if< ApplyKernel, bool >::type CalculateCentroid(const MatType &data, const std::vector< size_t > &neighbors, const std::vector< double > &distances, arma::colvec &centroid)</div><div class="ttdoc">Use kernel to calculate new centroid given dataset and valid neighbors. </div></div>
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<div class="ttc" id="classmlpack_1_1meanshift_1_1MeanShift_html_a542a7b9f360106cea4b7c549d3dcb3c6"><div class="ttname"><a href="classmlpack_1_1meanshift_1_1MeanShift.html#a542a7b9f360106cea4b7c549d3dcb3c6">mlpack::meanshift::MeanShift::MaxIterations</a></div><div class="ttdeci">size_t & MaxIterations()</div><div class="ttdoc">Set the maximum number of iterations. </div><div class="ttdef"><b>Definition:</b> <a href="mean__shift_8hpp_source.html#l00092">mean_shift.hpp:92</a></div></div>
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<div class="ttc" id="classmlpack_1_1meanshift_1_1MeanShift_html_a83f62187a300936a8901be14aceff2a9"><div class="ttname"><a href="classmlpack_1_1meanshift_1_1MeanShift.html#a83f62187a300936a8901be14aceff2a9">mlpack::meanshift::MeanShift::Kernel</a></div><div class="ttdeci">const KernelType & Kernel() const </div><div class="ttdoc">Get the kernel. </div><div class="ttdef"><b>Definition:</b> <a href="mean__shift_8hpp_source.html#l00100">mean_shift.hpp:100</a></div></div>
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<div class="ttc" id="classmlpack_1_1meanshift_1_1MeanShift_html_ac58cdbc587030f79cb05658d0221a88a"><div class="ttname"><a href="classmlpack_1_1meanshift_1_1MeanShift.html#ac58cdbc587030f79cb05658d0221a88a">mlpack::meanshift::MeanShift::radius</a></div><div class="ttdeci">double radius</div><div class="ttdoc">If distance of two centroids is less than radius, one will be removed. </div><div class="ttdef"><b>Definition:</b> <a href="mean__shift_8hpp_source.html#l00158">mean_shift.hpp:158</a></div></div>
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<div class="ttc" id="kernel__traits_8hpp_html"><div class="ttname"><a href="kernel__traits_8hpp.html">kernel_traits.hpp</a></div></div>
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<div class="ttc" id="classmlpack_1_1meanshift_1_1MeanShift_html_a1afba2513233536f47117a7b86e8384b"><div class="ttname"><a href="classmlpack_1_1meanshift_1_1MeanShift.html#a1afba2513233536f47117a7b86e8384b">mlpack::meanshift::MeanShift::kernel</a></div><div class="ttdeci">KernelType kernel</div><div class="ttdoc">Instantiated kernel. </div><div class="ttdef"><b>Definition:</b> <a href="mean__shift_8hpp_source.html#l00164">mean_shift.hpp:164</a></div></div>
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<div class="ttc" id="classmlpack_1_1kernel_1_1GaussianKernel_html"><div class="ttname"><a href="classmlpack_1_1kernel_1_1GaussianKernel.html">mlpack::kernel::GaussianKernel</a></div><div class="ttdoc">The standard Gaussian kernel. </div><div class="ttdef"><b>Definition:</b> <a href="gaussian__kernel_8hpp_source.html#l00034">gaussian_kernel.hpp:34</a></div></div>
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<div class="ttc" id="classmlpack_1_1meanshift_1_1MeanShift_html_aac1698b2653c2c00494ecfc6775e6652"><div class="ttname"><a href="classmlpack_1_1meanshift_1_1MeanShift.html#aac1698b2653c2c00494ecfc6775e6652">mlpack::meanshift::MeanShift::Radius</a></div><div class="ttdeci">double Radius() const </div><div class="ttdoc">Get the radius. </div><div class="ttdef"><b>Definition:</b> <a href="mean__shift_8hpp_source.html#l00095">mean_shift.hpp:95</a></div></div>
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<div class="ttc" id="classmlpack_1_1meanshift_1_1MeanShift_html_ad84529171961bfad9b63e9c0bf76384f"><div class="ttname"><a href="classmlpack_1_1meanshift_1_1MeanShift.html#ad84529171961bfad9b63e9c0bf76384f">mlpack::meanshift::MeanShift::maxIterations</a></div><div class="ttdeci">size_t maxIterations</div><div class="ttdoc">Maximum number of iterations before giving up. </div><div class="ttdef"><b>Definition:</b> <a href="mean__shift_8hpp_source.html#l00161">mean_shift.hpp:161</a></div></div>
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<div class="ttc" id="classmlpack_1_1meanshift_1_1MeanShift_html_a49525d3a9a710c8e0329ba7f77d19d64"><div class="ttname"><a href="classmlpack_1_1meanshift_1_1MeanShift.html#a49525d3a9a710c8e0329ba7f77d19d64">mlpack::meanshift::MeanShift::GenSeeds</a></div><div class="ttdeci">void GenSeeds(const MatType &data, const double binSize, const int minFreq, MatType &seeds)</div><div class="ttdoc">To speed up, we can generate some seeds from data set and use them as initial centroids rather than a...</div></div>
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