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<html><head>  <meta HTTP-EQUIV="Content-Type" CONTENT="text/html;charset=ISO-8859-1">  <title>Contents.m</title><link rel="stylesheet" type="text/css" href="../stpr.css"></head><body><table  border=0 width="100%" cellpadding=0 cellspacing=0><tr valign="baseline"><td valign="baseline" class="function"><b class="function">KMEANS</b><td valign="baseline" align="right" class="function"><a href="../probab/index.html" target="mdsdir"><img border = 0 src="../up.gif"></a></table>  <p><b>K-means clustering algorithm.</b></p>  <hr><div class='code'><code><span class=help>&nbsp;</span><br><span class=help>&nbsp;<span class=help_field>Synopsis:</span></span><br><span class=help>&nbsp;&nbsp;[model,y]&nbsp;=&nbsp;kmeans(X,num_centers)</span><br><span class=help>&nbsp;&nbsp;[model,y]&nbsp;=&nbsp;kmeans(X,num_centers,Init_centers)</span><br><span class=help></span><br><span class=help>&nbsp;<span class=help_field>Description:</span></span><br><span class=help>&nbsp;&nbsp;[model,y]&nbsp;=&nbsp;kmeans(X,num_centers)&nbsp;runs&nbsp;K-means&nbsp;clustering&nbsp;</span><br><span class=help>&nbsp;&nbsp;&nbsp;where&nbsp;inital&nbsp;centers&nbsp;are&nbsp;randomly&nbsp;selected&nbsp;from&nbsp;the&nbsp;</span><br><span class=help>&nbsp;&nbsp;&nbsp;input&nbsp;vectors&nbsp;X.&nbsp;The&nbsp;output&nbsp;are&nbsp;found&nbsp;centers&nbsp;stored&nbsp;in&nbsp;</span><br><span class=help>&nbsp;&nbsp;&nbsp;structure&nbsp;model.</span><br><span class=help>&nbsp;&nbsp;&nbsp;</span><br><span class=help>&nbsp;&nbsp;[model,y]&nbsp;=&nbsp;kmeans(X,num_centers,Init_centers)&nbsp;uses</span><br><span class=help>&nbsp;&nbsp;&nbsp;init_centers&nbsp;as&nbsp;the&nbsp;starting&nbsp;point.</span><br><span class=help></span><br><span class=help>&nbsp;<span class=help_field>Input:</span></span><br><span class=help>&nbsp;&nbsp;X&nbsp;[dim&nbsp;x&nbsp;num_data]&nbsp;Input&nbsp;vectors.</span><br><span class=help>&nbsp;&nbsp;num_centers&nbsp;[1x1]&nbsp;Number&nbsp;of&nbsp;centers.</span><br><span class=help>&nbsp;&nbsp;Init_centers&nbsp;[1x1]&nbsp;Starting&nbsp;point&nbsp;of&nbsp;the&nbsp;algorithm.</span><br><span class=help>&nbsp;&nbsp;&nbsp;&nbsp;</span><br><span class=help>&nbsp;<span class=help_field>Output:</span></span><br><span class=help>&nbsp;&nbsp;model&nbsp;[struct]&nbsp;Found&nbsp;clustering:</span><br><span class=help>&nbsp;&nbsp;&nbsp;.X&nbsp;[dim&nbsp;x&nbsp;num_centers]&nbsp;Found&nbsp;centers.</span><br><span class=help></span><br><span class=help>&nbsp;&nbsp;&nbsp;.y&nbsp;[1&nbsp;x&nbsp;num_centers]&nbsp;Implicitly&nbsp;added&nbsp;labels&nbsp;1..num_centers.</span><br><span class=help>&nbsp;&nbsp;&nbsp;.t&nbsp;[1x1]&nbsp;Number&nbsp;of&nbsp;iterations.</span><br><span class=help>&nbsp;&nbsp;&nbsp;.MsErr&nbsp;[1xt]&nbsp;Mean-Square&nbsp;error&nbsp;at&nbsp;each&nbsp;iteration.</span><br><span class=help></span><br><span class=help>&nbsp;&nbsp;y&nbsp;[1&nbsp;x&nbsp;num_data]&nbsp;Labels&nbsp;assigned&nbsp;to&nbsp;data&nbsp;according&nbsp;to&nbsp;</span><br><span class=help>&nbsp;&nbsp;&nbsp;the&nbsp;nearest&nbsp;center.</span><br><span class=help></span><br><span class=help>&nbsp;<span class=help_field>Example:</span></span><br><span class=help>&nbsp;&nbsp;data&nbsp;=&nbsp;load('riply_trn');</span><br><span class=help>&nbsp;&nbsp;[model,data.y]&nbsp;=&nbsp;kmeans(&nbsp;data.X,&nbsp;4&nbsp;);</span><br><span class=help>&nbsp;&nbsp;figure;&nbsp;ppatterns(data);&nbsp;</span><br><span class=help>&nbsp;&nbsp;ppatterns(model,12);&nbsp;pboundary(&nbsp;model&nbsp;);</span><br><span class=help></span><br><span class=help>&nbsp;<span class=also_field>See also </span><span class=also></span><br><span class=help><span class=also>&nbsp;&nbsp;<a href = "../probab/estimation/emgmm.html" target="mdsbody">EMGMM</a>,&nbsp;<a href = "../misc/knnclass.html" target="mdsbody">KNNCLASS</a>.</span><br><span class=help></span><br></code></div>  <hr>  <b>Source:</b> <a href= "../probab/list/kmeans.html">kmeans.m</a>  <p><b class="info_field">(c) </b> Statistical Pattern Recognition Toolbox, (C) 1999-2003,<br> Written by Vojtech Franc and Vaclav Hlavac,<br> <a href="http://www.cvut.cz">Czech Technical University Prague</a>,<br> <a href="http://www.feld.cvut.cz">Faculty of Electrical engineering</a>,<br> <a href="http://cmp.felk.cvut.cz">Center for Machine Perception</a><br>  <p><b class="info_field">Modifications: </b> <br> 12-may-2004, VF<br></body></html>

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