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Netlab Reference Manual demgmm4
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<H1> demgmm4
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<h2>
Purpose
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Demonstrate density modelling with a Gaussian mixture model.

<p><h2>
Synopsis
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<PRE>
demgmm4</PRE>


<p><h2>
Description
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The problem consists of modelling data generated
by a mixture of three Gaussians in 2 dimensions with a mixture model
using full covariance matrices.  The priors are 0.3, 0.5 and 0.2; the
centres are (2, 3.5), (0, 0) and (0,2); the variances are (0.16, 0.64)
axis aligned, (0.25, 1) rotated by 30 degrees and the identity
matrix. The first figure contains a scatter plot of the data.

<p>A Gaussian mixture model with three components is trained using EM.  The
parameter vector is printed before training and after training.  The user
should press any key to continue at these points.  The parameter vector
consists of priors (the column), and centres (given as (x, y) pairs as
the next two columns).  The covariance matrices are printed separately.

<p>The second figure is a 3 dimensional view of the density function,
while the third shows the axes of the 1-standard deviation ellipses
for the three components of the mixture model.

<p><h2>
See Also
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<CODE><a href="gmm.htm">gmm</a></CODE>, <CODE><a href="gmminit.htm">gmminit</a></CODE>, <CODE><a href="gmmem.htm">gmmem</a></CODE>, <CODE><a href="gmmprob.htm">gmmprob</a></CODE>, <CODE><a href="gmmunpak.htm">gmmunpak</a></CODE><hr>
<b>Pages:</b>
<a href="index.htm">Index</a>
<hr>
<p>Copyright (c) Ian T Nabney (1996-9)


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author	Daniel Wolff
date	Fri, 19 Aug 2016 13:07:06 +0200
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