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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><table border=0 width="100%" cellpadding=0 cellspacing=0><tr valign="baseline"><td valign="baseline" class="function"><b class="function">PCAREC</b><td valign="baseline" align="right" class="function"><a href="../../linear/extraction/index.html" target="mdsdir"><img border = 0 src="../../up.gif"></a></table> <p><b>Computes reconstructed vector after PCA projection.</b></p> <hr><div class='code'><code><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> <span class=also_field>See also </span><span class=also></span><br><span class=help><span class=also> <a href = "../../linear/linproj.html" target="mdsbody">LINPROJ</a>, <a href = "../../linear/extraction/pca.html" target="mdsbody">PCA</a>, <a href = "../../kernels/extraction/kpcarec.html" target="mdsbody">KPCAREC</a>.</span><br><span class=help></span><br></code></div> <hr> <b>Source:</b> <a href= "../../linear/extraction/list/pcarec.html">pcarec.m</a> <p><b class="info_field">About: </b> Statistical Pattern Recognition Toolbox<br> (C) 1999-2003, Written by Vojtech Franc and Vaclav Hlavac<br> <a href="http://www.cvut.cz">Czech Technical University Prague</a><br> <a href="http://www.feld.cvut.cz">Faculty of Electrical Engineering</a><br> <a href="http://cmp.felk.cvut.cz">Center for Machine Perception</a><br> <p><b class="info_field">Modifications: </b> <br> 25-may-2004, VF<br> 5-may-2004, VF<br> 22-apr-2004, VF<br> 17-mar-2004, VF, created.<br></body></html>?? 快捷鍵說明
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