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authorziejd22017-09-28 15:04:40 -0500
committerziejd22017-09-28 15:04:40 -0500
commit8070dc963753142bb86c4ed698d91fd623ed28e7 (patch)
treed0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/nethelp3.3/demgmm2.htm
parent7cc31810d53176e805532b2789955f4eedbce6bb (diff)
downloadBNW-8070dc963753142bb86c4ed698d91fd623ed28e7.tar.gz
BNW using Octave instead of Matlab.
This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning.

I am calling this BNW_1.02. It can be accessed at:
compbio.uthsc.edu/BNW_1.02
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+<html>
+<head>
+<title>
+Netlab Reference Manual demgmm1
+</title>
+</head>
+<body>
+<H1> demgmm1
+</H1>
+<h2>
+Purpose
+</h2>
+Demonstrate density modelling with a Gaussian mixture model.
+
+<p><h2>
+Synopsis
+</h2>
+<PRE>
+demgmm1</PRE>
+
+
+<p><h2>
+Description
+</h2>
+The problem consists of modelling data generated by a mixture of three
+Gaussians in 2 dimensions.  The priors are 0.3,
+0.5 and 0.2; the centres are (2, 3.5), (0, 0) and (0,2); the variances
+are 0.2, 0.5 and 1.0. 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), centres (given as (x, y) pairs as
+the next two columns), and variances (the last column). 
+
+<p>The second figure is a 3 dimensional view of the density function, while
+the third shows 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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