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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">PKERNELPROJ</b><td valign="baseline" align="right" class="function"><a href="../visual/index.html" target="mdsdir"><img border = 0 src="../up.gif"></a></table> <p><b>Plots isolines of kernel 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> pkernelproj(model)</span><br><span class=help> pkernelproj(model,options)</span><br><span class=help></span><br><span class=help> <span class=help_field>Description:</span></span><br><span class=help> This function plots isolines corresponding to points</span><br><span class=help> having equal value of projection onto kernel basis</span><br><span class=help> (e.g. onto principal component in Kernel PCA). </span><br><span class=help> See 'help kernelproj' for more help on kernel projection.</span><br><span class=help></span><br><span class=help> <span class=help_field>Input:</span></span><br><span class=help> model [struct] Defines kernel data projection. </span><br><span class=help></span><br><span class=help> options [struct] Controls apperance:</span><br><span class=help> .contours [1x1] Number of plotted contours (Default 10).</span><br><span class=help> .xgrid [1x1] Density of sampling in x-axis (default 25).x</span><br><span class=help> .ygrid [1x1] Density of sampling in y-axis (default 25).</span><br><span class=help> </span><br><span class=help> <span class=help_field>Example:</span></span><br><span class=help> help kpca;</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 = "../kernels/kernelproj.html" target="mdsbody">KERNELPROJ</a>, <a href = "../kernels/extraction/kpca.html" target="mdsbody">KPCA</a>, <a href = "../kernels/extraction/gda.html" target="mdsbody">GDA</a>.</span><br><span class=help></span><br></code></div> <hr> <b>Source:</b> <a href= "../visual/list/pkernelproj.html">pkernelproj.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> 4-may-2004, VF<br> 22-jan-2003, VF<br> 8-July-2001, V.Franc <br></body></html>?? 快捷鍵說明
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