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📄 mergesets.html

📁 很好的matlab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><table  border=0 width="100%" cellpadding=0 cellspacing=0><tr valign="baseline"><td valign="baseline" class="function"><b class="function">MERGESETS</b><td valign="baseline" align="right" class="function"><a href="../data/index.html" target="mdsdir"><img border = 0 src="../up.gif"></a></table>  <p><b>Merges data sets to one labeled data file.
</b></p>  <hr><div class='code'><code><span class=help>
</span><br><span class=help>&nbsp;<span class=help_field>Synopsis:</span></span><br><span class=help>&nbsp;&nbsp;mergesets(DirName,OutputFile)
</span><br><span class=help>
</span><br><span class=help>&nbsp;<span class=help_field>Description:</span></span><br><span class=help>&nbsp;&nbsp;It&nbsp;loads&nbsp;data&nbsp;files&nbsp;from&nbsp;given&nbsp;directory&nbsp;DirName&nbsp;and
</span><br><span class=help>&nbsp;&nbsp;merges&nbsp;them&nbsp;to&nbsp;one&nbsp;labeled&nbsp;data&nbsp;file.&nbsp;The&nbsp;individual&nbsp;files
</span><br><span class=help>&nbsp;&nbsp;are&nbsp;assumed&nbsp;to&nbsp;contain&nbsp;the&nbsp;field&nbsp;X&nbsp;[dim&nbsp;x&nbsp;num_data].
</span><br><span class=help>&nbsp;&nbsp;The&nbsp;file&nbsp;names&nbsp;have&nbsp;to&nbsp;have&nbsp;the&nbsp;following&nbsp;format
</span><br><span class=help>&nbsp;&nbsp;name_xxx.mat&nbsp;('_'&nbsp;can&nbsp;be&nbsp;omitted),&nbsp;where&nbsp;xxx&nbsp;denotes&nbsp;an&nbsp;
</span><br><span class=help>&nbsp;&nbsp;integer&nbsp;which&nbsp;is&nbsp;used&nbsp;to&nbsp;label&nbsp;the&nbsp;data&nbsp;X&nbsp;from&nbsp;the&nbsp;given&nbsp;
</span><br><span class=help>&nbsp;&nbsp;file.&nbsp;The&nbsp;OutputFile&nbsp;contains&nbsp;item&nbsp;X&nbsp;[dim&nbsp;x&nbsp;num_all_data]&nbsp;
</span><br><span class=help>&nbsp;&nbsp;with&nbsp;all&nbsp;merged&nbsp;data&nbsp;and&nbsp;vector&nbsp;of&nbsp;labels&nbsp;y&nbsp;[1&nbsp;x&nbsp;num_all_data].&nbsp;
</span><br><span class=help>&nbsp;
</span><br><span class=help>&nbsp;<span class=help_field>Input:</span></span><br><span class=help>&nbsp;&nbsp;DirName&nbsp;[string]&nbsp;Input&nbsp;directory.
</span><br><span class=help>&nbsp;&nbsp;OutputFile&nbsp;[string]&nbsp;Output&nbsp;data&nbsp;file.
</span><br><span class=help>
</span><br><span class=help>&nbsp;<span class=help_field>Output:</span></span><br><span class=help>&nbsp;&nbsp;file&nbsp;OutputFile&nbsp;with&nbsp;items:
</span><br><span class=help>&nbsp;&nbsp;&nbsp;X&nbsp;[dim&nbsp;x&nbsp;num_all_data]&nbsp;Data&nbsp;matrix.
</span><br><span class=help>&nbsp;&nbsp;&nbsp;y&nbsp;[1&nbsp;x&nbsp;num_all_data]&nbsp;Labels&nbsp;of&nbsp;data.
</span><br><span class=help>
</span><br></code></div>  <hr>  <b>Source:</b> <a href= "../data/list/mergesets.html">mergesets.m</a>  <p><b class="info_field">(c) </b> Statistical Pattern Recognition Toolbox, (C) 1999-2003,
<br> 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>  9-sep-2003, VF
<br></body></html>

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