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| author | ziejd2 | 2017-09-28 15:04:40 -0500 |
|---|---|---|
| committer | ziejd2 | 2017-09-28 15:04:40 -0500 |
| commit | 8070dc963753142bb86c4ed698d91fd623ed28e7 (patch) | |
| tree | d0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/nethelp3.3/demgmm4.htm | |
| parent | 7cc31810d53176e805532b2789955f4eedbce6bb (diff) | |
| download | BNW-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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diff --git a/sourcecodes/bnt-master/nethelp3.3/demgmm4.htm b/sourcecodes/bnt-master/nethelp3.3/demgmm4.htm new file mode 100644 index 00000000..95f4bc87 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/demgmm4.htm @@ -0,0 +1,54 @@ +<html> +<head> +<title> +Netlab Reference Manual demgmm4 +</title> +</head> +<body> +<H1> demgmm4 +</H1> +<h2> +Purpose +</h2> +Demonstrate density modelling with a Gaussian mixture model. + +<p><h2> +Synopsis +</h2> +<PRE> +demgmm4</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 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 +</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> \ No newline at end of file |