📄 plot3dproj.html

📁 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.希望对大家有用,谢谢支持
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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 plot3dProj</title>  <meta name="keywords" content="plot3dProj">  <meta name="description" content="plotClassVsFeature: Plot of class vs. feature">  <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; plot3dProj.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>plot3dProj</h1><h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>plotClassVsFeature: Plot of class vs. feature</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 plot2dProj(DS) </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">plotClassVsFeature: Plot of class vs. feature</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)"></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 plot2dProj(DS)</a>0002 <span class="comment">%plotClassVsFeature: Plot of class vs. feature</span>0003 0004 <span class="comment">%    Roger Jang, 20041209</span>0005 0006 <span class="keyword">if</span> nargin == 0, <a href="#_sub1" class="code" title="subfunction selfdemo">selfdemo</a>; <span class="keyword">return</span>, <span class="keyword">end</span>0007 0008 [featureNum, dataNum]=size(DS.input);0009 distinctClass = elementCount(DS.output);0010 classNum = length(distinctClass);0011 sequence = combine(1:featureNum, 3);0012 plotNum = size(sequence,1);0013 side = ceil(sqrt(plotNum));0014 k = 1;0015 <span class="keyword">for</span> i = 1:side,0016     <span class="keyword">for</span> j = 1:side,0017         <span class="keyword">if</span> k &lt;= plotNum,0018             subplot(side, side, k);0019             <span class="keyword">for</span> p=1:classNum0020                 index=find(DS.output==distinctClass(p));0021                 line(DS.input(sequence(k,1),index), DS.input(sequence(k,2),index), DS.input(sequence(k,3),index),<span class="string">'marker'</span>, <span class="string">'.'</span>, <span class="string">'lineStyle'</span>, <span class="string">'none'</span>, <span class="string">'color'</span>, getColor(p));0022             <span class="keyword">end</span>0023             box on; axis([-inf inf -inf inf]); axis image; view(-37.5, 30);0024             <span class="keyword">if</span> isfield(DS, <span class="string">'inputName'</span>)0025                 xlabel([<span class="string">'x'</span>, num2str(sequence(k,1)), <span class="string">': '</span>, DS.inputName{sequence(k,1)}]);0026                 ylabel([<span class="string">'x'</span>, num2str(sequence(k,2)), <span class="string">': '</span>, DS.inputName{sequence(k,2)}]);0027                 zlabel([<span class="string">'x'</span>, num2str(sequence(k,3)), <span class="string">': '</span>, DS.inputName{sequence(k,3)}]);0028             <span class="keyword">else</span>0029                 xlabel([<span class="string">'x'</span>, num2str(sequence(k,1))]);0030                 ylabel([<span class="string">'x'</span>, num2str(sequence(k,2))]);0031                 zlabel([<span class="string">'x'</span>, num2str(sequence(k,3))]);0032             <span class="keyword">end</span>0033             k = k+1;0034         <span class="keyword">end</span>0035     <span class="keyword">end</span>0036 <span class="keyword">end</span>0037 0038 <span class="comment">% ====== Self demo</span>0039 <a name="_sub1" href="#_subfunctions" class="code">function selfdemo</a>0040 DS=<a href="prData.html" class="code" title="function [DS, TS]=prData(dataName)">prData</a>(<span class="string">'iris'</span>);0041 feval(mfilename, DS);</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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