📄 inputselectsequential.html
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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 inputSelectSequential</title> <meta name="keywords" content="inputSelectSequential"> <meta name="description" content="inputSelectSequential: Input selection via sequential forward selection using leave-one-out"> <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> > inputSelectSequential.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>inputSelectSequential</h1><h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>inputSelectSequential: Input selection via sequential forward selection using leave-one-out</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 [bestSelectedInput, bestRecogRate, allSelectedInput, allRecogRate, elapsedTime] = inputSelectSequential(DS, inputNum, classifier, param, 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"> inputSelectSequential: Input selection via sequential forward selection using leave-one-out
Usage: [bestSelectedInput, allSelectedInput, allRecogRate, elapsedTime] = inputSelectSequential(DS, inputNum, classifier, param, plotOpt)
Input:
DS: design set
inputNum: up to inputNum inputs are selected
classifier: classifier for input selection
param: parameters for classifier
plotOpt: 0 for not plotting (default: 1)
Output:
bestSelectedInput: overall selected input index
bestRecogRate: recognition rate based on the final selected input
allSelectedInput: all selected input during the process
allRecogRate: all recognition rate
elapseTime: elapsed time</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="classConvert.html" class="code" title="function label2 = classConvert(label)">classConvert</a> classConvert: Convert class labels into integers from 1 to n</li><li><a href="inputNameList.html" class="code" title="function str=inputNameList(inputIndex, inputName)">inputNameList</a> </li><li><a href="inputSelectPlot.html" class="code" title="function inputSelectPlot(allRecogRate, allSelectedInput, inputName, callingFunction);">inputSelectPlot</a> inputSelectPlot: Plot for input selection</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 [bestSelectedInput, bestRecogRate, allSelectedInput, allRecogRate, elapsedTime] = inputSelectSequential(DS, inputNum, classifier, param, plotOpt)</a>0002 <span class="comment">% inputSelectSequential: Input selection via sequential forward selection using leave-one-out</span>0003 <span class="comment">% Usage: [bestSelectedInput, allSelectedInput, allRecogRate, elapsedTime] = inputSelectSequential(DS, inputNum, classifier, param, plotOpt)</span>0004 <span class="comment">%</span>0005 <span class="comment">% Input:</span>0006 <span class="comment">% DS: design set</span>0007 <span class="comment">% inputNum: up to inputNum inputs are selected</span>0008 <span class="comment">% classifier: classifier for input selection</span>0009 <span class="comment">% param: parameters for classifier</span>0010 <span class="comment">% plotOpt: 0 for not plotting (default: 1)</span>0011 <span class="comment">% Output:</span>0012 <span class="comment">% bestSelectedInput: overall selected input index</span>0013 <span class="comment">% bestRecogRate: recognition rate based on the final selected input</span>0014 <span class="comment">% allSelectedInput: all selected input during the process</span>0015 <span class="comment">% allRecogRate: all recognition rate</span>0016 <span class="comment">% elapseTime: elapsed time</span>0017 0018 <span class="comment">% Roger Jang, 19971227, 20041102</span>0019 0020 <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>0021 [dim, dataNum]=size(DS.input);0022 <span class="keyword">if</span> nargin<2, inputNum=dim; <span class="keyword">end</span>0023 <span class="keyword">if</span> nargin<3, classifier=<span class="string">'knnrLoo'</span>; <span class="keyword">end</span>0024 <span class="keyword">if</span> nargin<4, param=[]; <span class="keyword">end</span>0025 <span class="keyword">if</span> nargin<5, plotOpt=1; <span class="keyword">end</span>0026 0027 DS.output=<a href="classConvert.html" class="code" title="function label2 = classConvert(label)">classConvert</a>(DS.output); <span class="comment">% Convert the output to be intergers from 1 to classNum</span>0028 <span class="keyword">if</span> ~isfield(DS, <span class="string">'inputName'</span>)0029 feaNum=size(DS.input, 1);0030 DS.inputName=cellstr(int2str((1:feaNum)'));0031 <span class="keyword">end</span>0032 inputName=DS.inputName;0033 modelNum=inputNum*(2*dim-inputNum+1)/2; <span class="comment">% No. of KNN models</span>0034 0035 <span class="comment">% ====== Construct KNN with different input variables</span>0036 fprintf(<span class="string">'\nConstruct %d KNN models, each with up to %d inputs selected from %d candidates...\n'</span>, modelNum, inputNum, dim);0037 selectedInput=[];0038 modelIndex=1;0039 t0=clock;0040 <span class="keyword">for</span> i=1:inputNum0041 fprintf(<span class="string">'\nSelecting input %d:\n'</span>, i);0042 recogRate = -realmax*ones(1, dim);0043 <span class="keyword">for</span> j=1:dim,0044 <span class="keyword">if</span> isempty(selectedInput) | isempty(find(selectedInput==j))0045 currentSelectedInput = [selectedInput, j];0046 DS2=DS;0047 DS2.input=DS.input(currentSelectedInput, :);0048 recogRate(j) = feval(classifier, DS2, param);0049 allRecogRate(modelIndex) = recogRate(j);0050 fprintf(<span class="string">'Model %d/%d:'</span>, modelIndex, modelNum);0051 fprintf(<span class="string">'%s --> Recognition rate = %.1f%%\n'</span>, <a href="inputNameList.html" class="code" title="function str=inputNameList(inputIndex, inputName)">inputNameList</a>(currentSelectedInput, inputName), recogRate(j)*100);0052 allSelectedInput{modelIndex} = currentSelectedInput;0053 modelIndex = modelIndex+1;0054 <span class="keyword">end</span>0055 <span class="keyword">end</span>0056 [a, b] = max(recogRate);0057 selectedInput = [selectedInput, b];0058 fprintf(<span class="string">'Currently selected inputs: %s\n'</span>, <a href="inputNameList.html" class="code" title="function str=inputNameList(inputIndex, inputName)">inputNameList</a>(selectedInput, inputName));0059 <span class="keyword">end</span>0060 0061 [bestRecogRate, b] = max(allRecogRate);0062 bestSelectedInput = allSelectedInput{b};0063 fprintf(<span class="string">'\nOverall maximal recognition rate = %.1f%%.\n'</span>, bestRecogRate*100);0064 fprintf(<span class="string">'Overall selected inputs: %s\n'</span>, <a href="inputNameList.html" class="code" title="function str=inputNameList(inputIndex, inputName)">inputNameList</a>(bestSelectedInput, inputName));0065 elapsedTime=etime(clock, t0);0066 0067 <span class="keyword">if</span> plotOpt0068 <a href="inputSelectPlot.html" class="code" title="function inputSelectPlot(allRecogRate, allSelectedInput, inputName, callingFunction);">inputSelectPlot</a>(allRecogRate*100, allSelectedInput, inputName, mfilename);0069 <span class="keyword">end</span>0070 0071 <span class="comment">% ====== Self demo</span>0072 <a name="_sub1" href="#_subfunctions" class="code">function selfdemo</a>0073 DS=<a href="prData.html" class="code" title="function [DS, TS]=prData(dataName)">prData</a>(<span class="string">'iris'</span>);0074 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> © 2003</address></body></html>⌨️ 快捷键说明
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