📄 sgcsurface.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 sgcSurface</title>  <meta name="keywords" content="sgcSurface">  <meta name="description" content="">  <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; sgcSurface.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>sgcSurface</h1><h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong></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 surfObj=sgcSurface(DS, pointNum, classParam) </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"></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="gaussian.html" class="code" title="function out = gaussian(data, gParam);">gaussian</a>	gaussian: Multi-dimensional Gaussian propability density function</li><li><a href="getClassDataCount.html" class="code" title="function count=getClassDataCount(DS)">getClassDataCount</a>	classDataCount: Get the data count for each class</li><li><a href="sgcTrain.html" class="code" title="function [classParam, recogRate, hitIndex]=sgcTrain(DS, prior, plotOpt)">sgcTrain</a>	sgcTrain: Training for single Gaussian classifier training</li></ul>This function is called by:<ul style="list-style-image:url(../matlabicon.gif)"><li><a href="decisionBoundaryPlot.html" class="code" title="function out=decisionBoundaryPlot(surfObj)">decisionBoundaryPlot</a>	decisionBoundaryPlot: Plot of the decision boundary of a classification problem</li></ul><!-- crossreference --><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 surfObj=sgcSurface(DS, pointNum, classParam)</a>0002 0003 <span class="keyword">if</span> nargin&lt;2, pointNum=100; <span class="keyword">end</span>0004 <span class="keyword">if</span> nargin&lt;30005     classWeight=<a href="getClassDataCount.html" class="code" title="function count=getClassDataCount(DS)">getClassDataCount</a>(DS);    <span class="comment">% classWeight (or priors) is equal to the data count of each class</span>0006     classParam=<a href="sgcTrain.html" class="code" title="function [classParam, recogRate, hitIndex]=sgcTrain(DS, prior, plotOpt)">sgcTrain</a>(DS, classWeight);0007 <span class="keyword">end</span>0008 0009 <span class="comment">% PDF for each class</span>0010 x=linspace(min(DS.input(1,:)), max(DS.input(1,:)), pointNum);0011 y=linspace(min(DS.input(2,:)), max(DS.input(2,:)), pointNum);0012 [xx, yy] = meshgrid(x, y);0013 data = [xx(:), yy(:)]';0014 classNum=length(classParam);0015 <span class="keyword">for</span> i=1:classNum0016     out = <a href="gaussian.html" class="code" title="function out = gaussian(data, gParam);">gaussian</a>(data, classParam(i));0017     surfObj.class(i).surface = classParam(i).weight*reshape(out, pointNum, pointNum);    <span class="comment">% Multiplied by priors</span>0018     surfObj.class(i).param = classParam(i);0019 <span class="keyword">end</span>0020 0021 surfObj.xx=xx;0022 surfObj.yy=yy;</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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