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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 pcaKnnrLoo</title> <meta name="keywords" content="pcaKnnrLoo"> <meta name="description" content="ldaKnnrLoo: PCA analysis using KNNR and LOO"> <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> > pcaKnnrLoo.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>pcaKnnrLoo</h1><h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>ldaKnnrLoo: PCA analysis using KNNR and LOO</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 recogRate=pcaKnnrLoo(DS, 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"> ldaKnnrLoo: PCA analysis using KNNR and LOO</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="pca.html" class="code" title="function [DS2, eigVec, eigValue] = pca(DS, eigVecNum)">pca</a> pca: Principal component analysis</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)"></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 recogRate=pcaKnnrLoo(DS, plotOpt)</a>0002 <span class="comment">% ldaKnnrLoo: PCA analysis using KNNR and LOO</span>0003 0004 <span class="comment">% Roger Jang, 20060507</span>0005 0006 <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>0007 <span class="keyword">if</span> nargin<2, plotOpt=0; <span class="keyword">end</span>0008 0009 [featureNum, dataNum] = size(DS.input);0010 DS2 = <a href="pca.html" class="code" title="function [DS2, eigVec, eigValue] = pca(DS, eigVecNum)">pca</a>(DS);0011 recogRate=[];0012 <span class="keyword">for</span> i = 1:featureNum0013 DS3=DS2; DS3.input=DS2.input(1:i, :);0014 [recogRate(i), hitIndex] = <a href="knnrLoo.html" class="code" title="function [recogRate, computed, nearestIndex] = knnrLoo(DS, k, plotOpt)">knnrLoo</a>(DS3);0015 hitCount=length(hitIndex);0016 <span class="comment">% fprintf('\t\tLOO recog. rate = %d/%d = %g%%\n', hitCount, dataNum, 100*recogRate(i));</span>0017 <span class="keyword">end</span>0018 0019 <span class="keyword">if</span> plotOpt0020 plot(1:featureNum, 100*recogRate, <span class="string">'o-'</span>); grid on0021 xlabel(<span class="string">'No. of projected features based on PCA'</span>);0022 ylabel(<span class="string">'LOO recognition rates using KNNR (%)'</span>);0023 <span class="keyword">end</span>0024 0025 <span class="comment">% ====== Self demo</span>0026 <a name="_sub1" href="#_subfunctions" class="code">function selfdemo</a>0027 DS=<a href="prData.html" class="code" title="function [DS, TS]=prData(dataName)">prData</a>(<span class="string">'wine'</span>);0028 feval(mfilename, DS, 1);</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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