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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/demgmm1.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/demgmm1.htm b/sourcecodes/bnt-master/nethelp3.3/demgmm1.htm new file mode 100644 index 00000000..7476becb --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/demgmm1.htm @@ -0,0 +1,41 @@ +<html> +<head> +<title> +Netlab Reference Manual demgmm1 +</title> +</head> +<body> +<H1> demgmm1 +</H1> +<h2> +Purpose +</h2> +Demonstrate EM for Gaussian mixtures. + +<p><h2> +Synopsis +</h2> +<PRE> +demgmm1</PRE> + + +<p><h2> +Description +</h2> +This script demonstrates the use of the EM algorithm to fit a mixture +of Gaussians to a set of data using maximum likelihood. A colour +coding scheme is used to illustrate the evaluation of the posterior +probabilities in the E-step of the EM algorithm. + +<p><h2> +See Also +</h2> +<CODE><a href="demgmm2.htm">demgmm2</a></CODE>, <CODE><a href="demgmm3.htm">demgmm3</a></CODE>, <CODE><a href="demgmm4.htm">demgmm4</a></CODE>, <CODE><a href="gmm.htm">gmm</a></CODE>, <CODE><a href="gmmem.htm">gmmem</a></CODE>, <CODE><a href="gmmpost.htm">gmmpost</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 |