⭐ 欢迎来到虫虫下载站！ | 📦 资源下载 📁 资源专辑 ℹ️ 关于我们
⭐ 虫虫下载站
📤 上传资源

📄 pandr.html

📁 很好的matlab模式识别工具箱
💻 HTML
字号:
🔍 
<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">PANDR</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>Visualizes solution of the Generalized Anderson's task.
</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;h&nbsp;=&nbsp;pandr(model)
</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;vizualizes&nbsp;solution&nbsp;of&nbsp;the&nbsp;Generalized&nbsp;Anderson's&nbsp;task&nbsp;
</span><br><span class=help>&nbsp;&nbsp;for&nbsp;bivariate&nbsp;input&nbsp;Gaussians.
</span><br><span class=help>&nbsp;&nbsp;
</span><br><span class=help>&nbsp;&nbsp;The&nbsp;input&nbsp;of&nbsp;the&nbsp;task&nbsp;are&nbsp;two&nbsp;sets&nbsp;of&nbsp;Gaussians&nbsp;which&nbsp;
</span><br><span class=help>&nbsp;&nbsp;describe&nbsp;the&nbsp;first&nbsp;and&nbsp;second&nbsp;class.&nbsp;The&nbsp;Gaussians&nbsp;are&nbsp;denoted&nbsp;as&nbsp;
</span><br><span class=help>&nbsp;&nbsp;the&nbsp;ellipses&nbsp;(shape&nbsp;-&gt;&nbsp;covariance,&nbsp;center&nbsp;-&gt;&nbsp;mean).&nbsp;
</span><br><span class=help>&nbsp;&nbsp;The&nbsp;output&nbsp;of&nbsp;the&nbsp;task&nbsp;is&nbsp;the&nbsp;linear&nbsp;classifier&nbsp;denoted&nbsp;as&nbsp;a&nbsp;line&nbsp;
</span><br><span class=help>&nbsp;&nbsp;separating&nbsp;the&nbsp;2D&nbsp;feature&nbsp;space.
</span><br><span class=help>
</span><br><span class=help>&nbsp;<span class=help_field>Input:</span></span><br><span class=help>&nbsp;&nbsp;model&nbsp;[struct]&nbsp;Linear&nbsp;classifier:
</span><br><span class=help>&nbsp;&nbsp;&nbsp;.W&nbsp;[2&nbsp;x&nbsp;1]&nbsp;Normal&nbsp;vector&nbsp;of&nbsp;the&nbsp;separating&nbsp;hyperplane.
</span><br><span class=help>&nbsp;&nbsp;&nbsp;.b&nbsp;[real]&nbsp;Bias&nbsp;of&nbsp;the&nbsp;hyperplane.
</span><br><span class=help>
</span><br><span class=help>&nbsp;&nbsp;distrib&nbsp;[struct]&nbsp;Set&nbsp;of&nbsp;binary&nbsp;labeled&nbsp;Gaussians:
</span><br><span class=help>&nbsp;&nbsp;&nbsp;.Mean&nbsp;[2&nbsp;x&nbsp;ncomp]&nbsp;Mean&nbsp;vectors.
</span><br><span class=help>&nbsp;&nbsp;&nbsp;.Cov&nbsp;[2&nbsp;x&nbsp;2&nbsp;x&nbsp;ncomp]&nbsp;Covariance&nbsp;matrices.
</span><br><span class=help>&nbsp;&nbsp;&nbsp;.y&nbsp;[1&nbsp;x&nbsp;ncomp]&nbsp;Labels&nbsp;1&nbsp;or&nbsp;2.&nbsp;
</span><br><span class=help>
</span><br><span class=help>&nbsp;<span class=help_field>Output:</span></span><br><span class=help>&nbsp;&nbsp;h&nbsp;[1&nbsp;x&nbsp;nobjects]&nbsp;Handles&nbsp;of&nbsp;used&nbsp;graphics&nbsp;objects.
</span><br><span class=help>&nbsp;&nbsp;
</span><br><span class=help>&nbsp;<span class=help_field>Example:</span></span><br><span class=help>&nbsp;
</span><br></code></div>  <hr>  <b>Source:</b> <a href= "../visual/list/pandr.html">pandr.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> 24-feb-2003, VF
<br> 30-sep-2002, VF
<br></body></html>

⌨️ 快捷键说明

复制代码 Ctrl + C
搜索代码 Ctrl + F
全屏模式 F11
切换主题 Ctrl + Shift + D
显示快捷键 ?
增大字号 Ctrl + =
减小字号 Ctrl + -