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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/demgtm2.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/demgtm2.htm b/sourcecodes/bnt-master/nethelp3.3/demgtm2.htm new file mode 100644 index 00000000..4696b152 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/demgtm2.htm @@ -0,0 +1,43 @@ +<html> +<head> +<title> +Netlab Reference Manual demgtm2 +</title> +</head> +<body> +<H1> demgtm2 +</H1> +<h2> +Purpose +</h2> +Demonstrate GTM for visualisation. + +<p><h2> +Synopsis +</h2> +<PRE> +demgtm2</PRE> + + +<p><h2> +Description +</h2> + +This script demonstrates the use of a +GTM with a two-dimensional latent space to visualise data in a higher +dimensional space. +This is done through the use of the mean responsibility and magnification +factors. + +<p><h2> +See Also +</h2> +<CODE><a href="demgtm1.htm">demgtm1</a></CODE>, <CODE><a href="gtm.htm">gtm</a></CODE>, <CODE><a href="gtmem.htm">gtmem</a></CODE>, <CODE><a href="gtmpost.htm">gtmpost</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 |