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📁 用matlab实现的统计模式识别工具箱
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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"> Probability distribution estimation.</h1><pre> <a href = "../../probab/estimation/emgmm.html" target="mdsbody">emgmm</a>     - Expectation-Maximization Algorithm for GMM.  <a href = "../../probab/estimation/melgmm.html" target="mdsbody">melgmm</a>    - Maximizes Expectation of Log-Likelihood for Gaussian mixture. <a href = "../../probab/estimation/mlcgmm.html" target="mdsbody">mlcgmm</a>    - Maximal Likelihood estimation of Gaussian mixture model. <a href = "../../probab/estimation/mlsigmoid.html" target="mdsbody">mlsigmoid</a> - Fitting a sigmoid function using ML estimation. <a href = "../../probab/estimation/mmgauss.html" target="mdsbody">mmgauss</a>   - Minimax estimation of Gaussian distribution. <a href = "../../probab/estimation/rsde.html" target="mdsbody">rsde</a>      - Reduced Set Density Estimator. About: Statistical Pattern Recognition Toolbox (C) 1999-2004, 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: 13-jun-2004, VF 11-jun-2004, VF 19-sep-03, VF</pre></body></html>

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