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来自「support vector machine的一个matlab工具箱」· HTML 代码 · 共 24 行
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<html><head> <meta HTTP-EQUIV="Content-Type" CONTENT="text/html;charset=ISO-8859-1"> <title>Contents.m</title><link rel="stylesheet" type="text/css" href="../../stpr.css"></head><body><h1 class="function"> Linear feature extraction.</h1><pre> <a href = "../../linear/extraction/lda.html" target="mdsbody">lda</a> - Linear Discriminant Analysis. <a href = "../../linear/extraction/pca.html" target="mdsbody">pca</a> - Principal Component Analysis. <a href = "../../linear/extraction/pcarec.html" target="mdsbody">pcarec</a> - Computes reconstructed vector after PCA projection. About: Statistical Pattern Recognition Toolbox (C) 1999-2003, Written by Vojtech Franc and Vaclav Hlavac <a href="http://www.cvut.cz">Czech Technical University Prague</a> <a href="http://www.feld.cvut.cz">Faculty of Electrical Engineering</a> <a href="http://cmp.felk.cvut.cz">Center for Machine Perception</a> Modifications: 10-jun-2004, VF</pre></body></html>
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