📄 decisionboundaryplot.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 decisionBoundaryPlot</title>  <meta name="keywords" content="decisionBoundaryPlot">  <meta name="description" content="decisionBoundaryPlot: Plot of the decision boundary of a classification problem">  <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; decisionBoundaryPlot.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>decisionBoundaryPlot</h1><h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>decisionBoundaryPlot: Plot of the decision boundary of a classification problem</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 out=decisionBoundaryPlot(surfObj) </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"> decisionBoundaryPlot: Plot of the decision boundary of a classification problem
    Usage: out=decisionBoundaryPlot(surfObj)
        surfObj is generated by sgcSurface.m.</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="decisionBoundaryPlot.html" class="code" title="function out=decisionBoundaryPlot(surfObj)">decisionBoundaryPlot</a>	decisionBoundaryPlot: Plot of the decision boundary of a classification problem</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="prData.html" class="code" title="function [DS, TS]=prData(dataName)">prData</a>	prData: Various data set for PR</li><li><a href="sgcSurface.html" class="code" title="function surfObj=sgcSurface(DS, pointNum, classParam)">sgcSurface</a>	</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="_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 out=decisionBoundaryPlot(surfObj)</a>0002 <span class="comment">% decisionBoundaryPlot: Plot of the decision boundary of a classification problem</span>0003 <span class="comment">%    Usage: out=decisionBoundaryPlot(surfObj)</span>0004 <span class="comment">%        surfObj is generated by sgcSurface.m.</span>0005 0006 <span class="comment">%    Roger Jang, 20041201</span>0007 0008 <span class="keyword">if</span> nargin&lt;1, <a href="#_sub1" class="code" title="subfunction selfdemo">selfdemo</a>; <span class="keyword">return</span>; <span class="keyword">end</span>0009 0010 class=surfObj.class;0011 classNum=length(class);0012 xx=surfObj.xx;0013 yy=surfObj.yy;0014 data = [xx(:), yy(:)]';0015 0016 matlabVersion=version;0017 matlabVersion=eval(matlabVersion(1));0018 0019 hold on0020 <span class="keyword">for</span> i=1:classNum0021     tempClass=class;0022     tempClass(i)=[];0023     maxSurf=max(cat(3, tempClass.surface), [], 3);0024     tt=class(i).surface-maxSurf;0025     <span class="keyword">if</span> matlabVersion==60026         [c, h]=contourf(xx, yy, tt, 0*[1 1]);0027     <span class="keyword">else</span>0028         [c, h]=contourf(<span class="string">'v6'</span>, xx, yy, tt, 0*[1 1]);0029     <span class="keyword">end</span>0030     class(i).contourx=get(h(1), <span class="string">'xdata'</span>);0031     class(i).contoury=get(h(1), <span class="string">'ydata'</span>);0032     out(i)=patch(<span class="string">'xdata'</span>, class(i).contourx, <span class="string">'ydata'</span>, class(i).contoury, <span class="string">'faceColor'</span>, getColorLight(i));0033 <span class="keyword">end</span>0034 hold off0035 axis image;0036 0037 <span class="comment">% ====== selfdemo</span>0038 <a name="_sub1" href="#_subfunctions" class="code">function selfdemo</a>0039 DS=<a href="prData.html" class="code" title="function [DS, TS]=prData(dataName)">prData</a>(<span class="string">'iris'</span>);0040 DS.input=DS.input(3:4, :);            <span class="comment">% Only take dimensions 3 and 4 for 2d visualization</span>0041 prior=<a href="getClassDataCount.html" class="code" title="function count=getClassDataCount(DS)">getClassDataCount</a>(DS);            <span class="comment">% Use the class size as the class prior probability</span>0042 [classParam, recogRate]=<a href="sgcTrain.html" class="code" title="function [classParam, recogRate, hitIndex]=sgcTrain(DS, prior, plotOpt)">sgcTrain</a>(DS, prior);0043 pointNum=50;0044 surfObj=<a href="sgcSurface.html" class="code" title="function surfObj=sgcSurface(DS, pointNum, classParam)">sgcSurface</a>(DS, pointNum, classParam);    <span class="comment">% Compute the Gaussian surface for each class</span>0045 <a href="decisionBoundaryPlot.html" class="code" title="function out=decisionBoundaryPlot(surfObj)">decisionBoundaryPlot</a>(surfObj);            <span class="comment">% Plot the decision boundary</span>0046 title(<span class="string">'Decision boundaries using SGC'</span>);0047 <a href="sgcTrain.html" class="code" title="function [classParam, recogRate, hitIndex]=sgcTrain(DS, prior, plotOpt)">sgcTrain</a>(DS, prior, 1);                <span class="comment">% Overlay the training data</span></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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