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+<html>
+<head>
+<title>
+Netlab Reference Manual demgmm3
+</title>
+</head>
+<body>
+<H1> demgmm3
+</H1>
+<h2>
+Purpose
+</h2>
+Demonstrate density modelling with a Gaussian mixture model.
+
+<p><h2>
+Synopsis
+</h2>
+<PRE>
+demgmm3</PRE>
+
+
+<p><h2>
+Description
+</h2>
+
+The problem consists of modelling data generated
+by a mixture of three Gaussians in 2 dimensions with a mixture model
+using diagonal covariance matrices.  The priors are 0.3, 0.5 and 0.2; the
+centres are (2, 3.5), (0, 0) and (0,2); the covariances are all axis aligned
+(0.16, 0.64), (0.25, 1) 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 diagonal entries of 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 circles
+for the three components of the mixture model.
+
+<p><h2>
+See Also
+</h2>
+<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)
+
+
+</body>
+</html>
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