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author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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+++ b/toolboxes/FullBNT-1.0.7/nethelp3.3/mdndist2.htm	Tue Feb 10 15:05:51 2015 +0000
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+<html>
+<head>
+<title>
+Netlab Reference Manual mdndist2
+</title>
+</head>
+<body>
+<H1> mdndist2
+</H1>
+<h2>
+Purpose
+</h2>
+Calculates squared distance between centres of Gaussian kernels and data
+
+<p><h2>
+Synopsis
+</h2>
+<PRE>
+n2 = mdndist2(mixparams, t)
+</PRE>
+
+
+<p><h2>
+Description
+</h2>
+<CODE>n2 = mdndist2(mixparams, t)</CODE> takes takes the centres of the Gaussian 
+contained in
+ <CODE>mixparams</CODE> and the target data matrix, <CODE>t</CODE>, and computes the squared 
+Euclidean distance between them.  If <CODE>t</CODE> has <CODE>m</CODE> rows and <CODE>n</CODE>
+columns, then the <CODE>centres</CODE> field in
+the <CODE>mixparams</CODE> structure should have <CODE>m</CODE> rows and
+<CODE>n*mixparams.ncentres</CODE> columns: the centres in each row relate to
+the corresponding row in <CODE>t</CODE>.
+The result has <CODE>m</CODE> rows and <CODE>mixparams.ncentres</CODE> columns.
+The <CODE>i, j</CODE>th entry is the 
+squared distance from the <CODE>i</CODE>th row of <CODE>x</CODE> to the <CODE>j</CODE>th
+centre in the <CODE>i</CODE>th row of <CODE>mixparams.centres</CODE>.
+
+<p><h2>
+See Also
+</h2>
+<CODE><a href="mdnfwd.htm">mdnfwd</a></CODE>, <CODE><a href="mdnprob.htm">mdnprob</a></CODE><hr>
+<b>Pages:</b>
+<a href="index.htm">Index</a>
+<hr>
+<p>Copyright (c) Ian T Nabney (1996-9)
+<p>David J Evans (1998)
+
+</body>
+</html>
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