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Netlab Reference Manual mdndist2
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<H1> mdndist2
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<h2>
Purpose
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Calculates squared distance between centres of Gaussian kernels and data

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Synopsis
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<PRE>
n2 = mdndist2(mixparams, t)
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Description
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<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>.

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See Also
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<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)

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author	wolffd
date	Tue, 10 Feb 2015 15:05:51 +0000
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