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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"                "http://www.w3.org/TR/REC-html40/loose.dtd"><html><head>  <title>Description of knnrWrtK</title>  <meta name="keywords" content="knnrWrtK">  <meta name="description" content="knnrWrtK: Try various values of K in leave-one-out K-NNR.">  <meta http-equiv="Content-Type" content="text/html; charset=big5">  <meta name="generator" content="m2html &copy; 2003 Guillaume Flandin">  <meta name="robots" content="index, follow">  <link type="text/css" rel="stylesheet" href="../m2html.css"></head><body><a name="_top"></a><div><a href="../index.html">Home</a> &gt;  <a href="index.html">dcpr</a> &gt; knnrWrtK.m</div><!--<table width="100%"><tr><td align="left"><a href="../index.html"><img alt="<" border="0" src="../left.png">&nbsp;Master index</a></td><td align="right"><a href="index.html">Index for dcpr&nbsp;<img alt=">" border="0" src="../right.png"></a></td></tr></table>--><h1>knnrWrtK</h1><h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>knnrWrtK: Try various values of K in leave-one-out K-NNR.</strong></div><h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>function [misclassify, elapsed_time] = knnrWrtK(DS, TS, kMax, plotOpt) </strong></div><h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="fragment"><pre class="comment"> knnrWrtK: Try various values of K in leave-one-out K-NNR.
    [misclassify, elapsed_time] = knnrWrtK(sampledata, k_max, big_dataset, plotting)</pre></div><!-- crossreference --><h2><a name="_cross"></a>CROSS-REFERENCE INFORMATION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>This function calls:<ul style="list-style-image:url(../matlabicon.gif)"><li><a href="knnr.html" class="code" title="function [computedOutput, combinedComputedOutput, nearestIndex, knnrMat] = knnr(DS, TS, k)">knnr</a>	knnr: K-nearest neighbor rule for classification</li><li><a href="knnrWrtK.html" class="code" title="function [misclassify, elapsed_time] = knnrWrtK(DS, TS, kMax, plotOpt)">knnrWrtK</a>	knnrWrtK: Try various values of K in leave-one-out K-NNR.</li><li><a href="prData.html" class="code" title="function [DS, TS]=prData(dataName)">prData</a>	prData: Various data set for PR</li></ul>This function is called by:<ul style="list-style-image:url(../matlabicon.gif)"><li><a href="knnrWrtK.html" class="code" title="function [misclassify, elapsed_time] = knnrWrtK(DS, TS, kMax, plotOpt)">knnrWrtK</a>	knnrWrtK: Try various values of K in leave-one-out K-NNR.</li></ul><!-- crossreference --><h2><a name="_subfunctions"></a>SUBFUNCTIONS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><ul style="list-style-image:url(../matlabicon.gif)"><li><a href="#_sub1" class="code">function selfdemo</a></li></ul><h2><a name="_source"></a>SOURCE CODE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="fragment"><pre>0001 <a name="_sub0" href="#_subfunctions" class="code">function [misclassify, elapsed_time] = knnrWrtK(DS, TS, kMax, plotOpt)</a>0002 <span class="comment">% knnrWrtK: Try various values of K in leave-one-out K-NNR.</span>0003 <span class="comment">%    [misclassify, elapsed_time] = knnrWrtK(sampledata, k_max, big_dataset, plotting)</span>0004 0005 <span class="comment">%    Roger Jang, 971227, 990613</span>0006 0007 <span class="keyword">if</span> nargin&lt;1, <a href="#_sub1" class="code" title="subfunction selfdemo">selfdemo</a>; <span class="keyword">return</span>; <span class="keyword">end</span>0008 <span class="keyword">if</span> nargin&lt;3, kMax=15; <span class="keyword">end</span>0009 <span class="keyword">if</span> nargin&lt;4, plotOpt=0; <span class="keyword">end</span>0010 0011 designNum=size(DS.input, 2);0012 testNum  =size(TS.input, 2);0013 <span class="keyword">for</span> k=1:kMax,0014     computed=<a href="knnr.html" class="code" title="function [computedOutput, combinedComputedOutput, nearestIndex, knnrMat] = knnr(DS, TS, k)">knnr</a>(DS, TS, k);0015     correctCount=sum(TS.output==computed);0016     recog(k)=correctCount/testNum;0017     fprintf(<span class="string">'\t%d-NNR ===&gt; 1-%d/%d = %.2f%%.\n'</span>, k, testNum-correctCount, testNum, recog(k)*100);0018 <span class="keyword">end</span>0019 0020 <span class="keyword">if</span> plotOpt0021     plot(1:kMax, recog*100, <span class="string">'b-o'</span>); grid on;0022     title(<span class="string">'Recognition rates of Iris data using K-NNR'</span>);0023     xlabel(<span class="string">'K'</span>); ylabel(<span class="string">'Recognition rates (%)'</span>);0024 <span class="keyword">end</span>0025 0026 0027 <a name="_sub1" href="#_subfunctions" class="code">function selfdemo</a>0028 [DS, TS]=<a href="prData.html" class="code" title="function [DS, TS]=prData(dataName)">prData</a>(<span class="string">'iris'</span>);0029 designNum=size(DS.input, 2);0030 testNum  =size(TS.input, 2);0031 fprintf(<span class="string">'Use of KNNR for Iris data:\n'</span>);0032 fprintf(<span class="string">'\tSize of design set (odd-indexed data)= %d\n'</span>, designNum);0033 fprintf(<span class="string">'\tSize of test set (even-indexed data) = %d\n'</span>, testNum);0034 kMax=15;0035 plotOpt=1;0036 <a href="knnrWrtK.html" class="code" title="function [misclassify, elapsed_time] = knnrWrtK(DS, TS, kMax, plotOpt)">knnrWrtK</a>(DS, TS, kMax, plotOpt);</pre></div><hr><address>Generated on Thu 30-Oct-2008 12:53:56 by <strong><a href="http://www.artefact.tk/software/matlab/m2html/">m2html</a></strong> &copy; 2003</address></body></html>
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