classsize.html
来自「一个关于数据聚类和模式识别的程序,在生物化学,化学中因该都可以用到.希望对大家有」· HTML 代码 · 共 78 行
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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 classSize</title> <meta name="keywords" content="classSize"> <meta name="description" content="classSize: Class sizes for a sample data set"> <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> > classSize.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>classSize</h1><h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>classSize: Class sizes for a sample data set</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 [class, count] = classSize(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">classSize: Class sizes for a sample data set
Usage: [class, count] = classSize(DS)</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="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="getCvData.html" class="code" title="function cvData=getCvData(DS, m)">getCvData</a> getcvData: Get m-fold cross validation data</li><li><a href="gmmTrainEvalWrtGaussianNum.html" class="code" title="function [gmmData, recogRate1, recogRate2, validMixNumIndex]=gmmTrainEvalWrtGaussianNum(DS, TS, vecOfMixNum, covType, gmmTrainParam)">gmmTrainEvalWrtGaussianNum</a> gmmTrainEvalWrtMixNum: GMM training and test, w.r.t. varying number of mixtures</li><li><a href="lda.html" class="code" title="function [DS2, discrimVec, eigValues] = lda(DS, discrimVecNum)">lda</a> lda: Linear discriminant analysis</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 [class, count] = classSize(DS, plotOpt)</a>0002 <span class="comment">%classSize: Class sizes for a sample data set</span>0003 <span class="comment">% Usage: [class, count] = classSize(DS)</span>0004 0005 <span class="comment">% Roger Jang, 1997xxxx, 20041208, 20080827</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, plotOpt=0; <span class="keyword">end</span>0009 0010 [featureNum, dataNum] = size(DS.input); <span class="comment">% no. of features</span>0011 [class, count] = elementCount(DS.output);0012 classNum = length(class); <span class="comment">% No. of classes</span>0013 0014 <span class="comment">% Plot class distribution</span>0015 <span class="keyword">if</span> plotOpt0016 fprintf(<span class="string">'%g features\n'</span>, featureNum);0017 fprintf(<span class="string">'%g instances\n'</span>, dataNum);0018 fprintf(<span class="string">'%g classes\n'</span>, classNum);0019 bar(class, count);0020 xlabel(<span class="string">'Classes'</span>);0021 ylabel(<span class="string">'Counts'</span>);0022 <span class="keyword">if</span> isfield(DS, <span class="string">'dataName'</span>), title(sprintf(<span class="string">'Class distribution for "%s"'</span>, DS.dataName)); <span class="keyword">end</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">'abalone'</span>);0028 plotOpt=1;0029 feval(mfilename, DS, 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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