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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 knnrLooWrtK</title> <meta name="keywords" content="knnrLooWrtK"> <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 © 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> > <a href="index.html">dcpr</a> > knnrLooWrtK.m</div><!--<table width="100%"><tr><td align="left"><a href="../index.html"><img alt="<" border="0" src="../left.png"> Master index</a></td><td align="right"><a href="index.html">Index for dcpr <img alt=">" border="0" src="../right.png"></a></td></tr></table>--><h1>knnrLooWrtK</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] = knnrLooWrtK(DS, 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] = knnrLooWrtK(DS, kMax, plotOpt)</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="knnrLoo.html" class="code" title="function [recogRate, computed, nearestIndex] = knnrLoo(DS, k, plotOpt)">knnrLoo</a> knnrLoo: Leave-one-out recognition rate of KNNR</li><li><a href="knnrLooWrtK.html" class="code" title="function [misclassify, elapsed_time] = knnrLooWrtK(DS, kMax, plotOpt)">knnrLooWrtK</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="knnrLooWrtK.html" class="code" title="function [misclassify, elapsed_time] = knnrLooWrtK(DS, kMax, plotOpt)">knnrLooWrtK</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] = knnrLooWrtK(DS, 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] = knnrLooWrtK(DS, kMax, plotOpt)</span>0004 0005 <span class="comment">% Roger Jang, 19971227, 20080924</span>0006 0007 <span class="keyword">if</span> nargin<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<2, kMax=15; <span class="keyword">end</span>0009 <span class="keyword">if</span> nargin<3, plotOpt=0; <span class="keyword">end</span>0010 0011 designNum=size(DS.input, 2);0012 <span class="keyword">for</span> k=1:kMax,0013 recog(k)=<a href="knnrLoo.html" class="code" title="function [recogRate, computed, nearestIndex] = knnrLoo(DS, k, plotOpt)">knnrLoo</a>(DS, k);0014 fprintf(<span class="string">'\t%d-NNR ===> %.2f%%.\n'</span>, k, recog(k)*100);0015 <span class="keyword">end</span>0016 0017 <span class="keyword">if</span> plotOpt0018 plot(1:kMax, recog*100, <span class="string">'b-o'</span>); grid on;0019 title(<span class="string">'Recognition rates using K-NNR'</span>);0020 xlabel(<span class="string">'K'</span>); ylabel(<span class="string">'Recognition rates (%)'</span>);0021 <span class="keyword">end</span>0022 0023 0024 <a name="_sub1" href="#_subfunctions" class="code">function selfdemo</a>0025 DS=<a href="prData.html" class="code" title="function [DS, TS]=prData(dataName)">prData</a>(<span class="string">'iris'</span>);0026 designNum=size(DS.input, 2);0027 fprintf(<span class="string">'Use of KNNRLOO for Iris data:\n'</span>);0028 fprintf(<span class="string">'\tSize of DS = %d\n'</span>, designNum);0029 kMax=20;0030 plotOpt=1;0031 <a href="knnrLooWrtK.html" class="code" title="function [misclassify, elapsed_time] = knnrLooWrtK(DS, kMax, plotOpt)">knnrLooWrtK</a>(DS, 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> © 2003</address></body></html>⌨️ 快捷键说明
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