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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">DEMO_LINCLASS</b><td valign="baseline" align="right" class="function"><a href="../demos/index.html" target="mdsdir"><img border = 0 src="../up.gif"></a></table> <p><b>Demo on the algorithms learning linear classifiers.</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> demo_linclass</span><br><span class=help></span><br><span class=help> <span class=help_field>Description:</span></span><br><span class=help> DEMO_LINCLASS demonstrates use of the algorithms which find </span><br><span class=help> linear decision hyperplane between two (dichotomy)</span><br><span class=help> vector sets. The demo requires 2D input training data.</span><br><span class=help></span><br><span class=help> The program vizualizes found hyperplane in the current </span><br><span class=help> algorithm step. The missclassified vector used by the</span><br><span class=help> demonstrated iterative algorithms for update is vizualized</span><br><span class=help> as well. Text description of the found solution is</span><br><span class=help> printed at the bottom part of window.</span><br><span class=help></span><br><span class=help> Following algorithms can be tested:</span><br><span class=help></span><br><span class=help> Perceptron - Perceptron learning rule (see 'help perceptron').</span><br><span class=help> Kozinec - Kozinec's algorithm (see 'help ekozinec', eps=-1). </span><br><span class=help> e-Kozinec - Kozinec's algorithm finding eps-optimal hyperplane</span><br><span class=help> (see 'help ekozinec', eps > 0).</span><br><span class=help> Linear SVM - Linear Supprot Vector Machines for separable data</span><br><span class=help> (see 'help smo', C=inf, ker='linear').</span><br><span class=help></span><br><span class=help> <span class=help_field>Control:</span></span><br><span class=help> Algorithm - Dselects algorithm for testing.</span><br><span class=help> Epsilon - Input parameter of 'ekozinec' algorithm </span><br><span class=help> (see 'help ekozinec').</span><br><span class=help> Iterations - Number of iterations in one step.</span><br><span class=help> Animation - Enables/dissables animation - smooth changeover </span><br><span class=help> between two algorithm states.</span><br><span class=help></span><br><span class=help> FIG2EPS - Exports screen to the PostScript file.</span><br><span class=help> Load data - Loads input training data from file.</span><br><span class=help> Create data - Invokes program for creating training data.</span><br><span class=help> Reset - Sets the algorithm to the initial state.</span><br><span class=help> Play - Runs the algorithm.</span><br><span class=help> Stop - Stops the running algorithm.</span><br><span class=help> Step - Perform one step of the algorithm.</span><br><span class=help> Info - Invoke the info box.</span><br><span class=help> Close - Close the program.</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/finite/perceptron.html" target="mdsbody">PERCEPTRON</a>, <a href = "../linear/finite/ekozinec.html" target="mdsbody">EKOZINEC</a>, SVM.</span><br><span class=help></span><br></code></div> <hr> <b>Source:</b> <a href= "../demos/list/demo_linclass.html">demo_linclass.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> 19-sep-2003, VF<br> 17-Feb-2003, VF<br> 24. 6.00 V. Hlavac, comments polished.<br> 11-dec-2000 V. Franc, a little increasing of code readibility<br> 15-dec-2000<br></body></html>?? 快捷鍵說明
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