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<html><head> <meta HTTP-EQUIV="Content-Type" CONTENT="text/html;charset=ISO-8859-1"> <title>pcarec.m</title><link rel="stylesheet" type="text/css" href="../../../m-syntax.css"></head><body><code><span class=defun_kw>function</span> <span class=defun_out>Y </span>= <span class=defun_name>pcarec</span>(<span class=defun_in>X,model</span>)<br><span class=h1>% PCAREC Computes reconstructed vector after PCA projection.</span><br><span class=help>% </span><br><span class=help>% <span class=help_field>Synopsis:</span></span><br><span class=help>% Y = pcarec(X,model)</span><br><span class=help>%</span><br><span class=help>% <span class=help_field>Description:</span></span><br><span class=help>% The input vectorts X are projected onto Z using linear </span><br><span class=help>% projection trained by the Principal Component Analysis (PCA). </span><br><span class=help>% The vectors Y are computed from Z as a reconstruction of </span><br><span class=help>% the original vectors X:</span><br><span class=help>%</span><br><span class=help>% PCA Reconstr</span><br><span class=help>% X ---> Z ---> Y</span><br><span class=help>%</span><br><span class=help>% <span class=help_field>Input:</span></span><br><span class=help>% X [dim x num_data] Input vectors.</span><br><span class=help>% model [struct] Linear projection trained by PCA. </span><br><span class=help>%</span><br><span class=help>% <span class=help_field>Output:</span></span><br><span class=help>% Y [dim x num_data] Reconstructed vectors.</span><br><span class=help>%</span><br><span class=help>% See also </span><br><span class=help>% LINPROJ, PCA, KPCAREC.</span><br><span class=help>%</span><br><hr><span class=help1>% <span class=help1_field>About:</span> Statistical Pattern Recognition Toolbox</span><br><span class=help1>% (C) 1999-2003, Written by Vojtech Franc and Vaclav Hlavac</span><br><span class=help1>% <a href="http://www.cvut.cz">Czech Technical University Prague</a></span><br><span class=help1>% <a href="http://www.feld.cvut.cz">Faculty of Electrical Engineering</a></span><br><span class=help1>% <a href="http://cmp.felk.cvut.cz">Center for Machine Perception</a></span><br><br><span class=help1>% <span class=help1_field>Modifications:</span></span><br><span class=help1>% 25-may-2004, VF</span><br><span class=help1>% 5-may-2004, VF</span><br><span class=help1>% 22-apr-2004, VF</span><br><span class=help1>% 17-mar-2004, VF, created.</span><br><br><hr>[dim,num_data] = size(X);<br><br>Y = model.W*linproj(X,model) + model.mean_X*ones(1,num_data);<br><br><span class=jump>return</span>; <br><span class=comment>% EOF </span><br></code>?? 快捷鍵說明
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