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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/sompak.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/sompak.htm b/sourcecodes/bnt-master/nethelp3.3/sompak.htm new file mode 100644 index 00000000..902ef52e --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/sompak.htm @@ -0,0 +1,44 @@ +<html> +<head> +<title> +Netlab Reference Manual sompak +</title> +</head> +<body> +<H1> sompak +</H1> +<h2> +Purpose +</h2> +Combines node weights into one weights matrix. + +<p><h2> +Synopsis +</h2> +<PRE> +c = sompak(net) +</PRE> + + +<p><h2> +Description +</h2> +<CODE>c = sompak(net)</CODE> takes a SOM data structure <CODE>net</CODE> and +combines the node weights into a matrix of centres +<CODE>c</CODE> where each row represents the node vector. + +<p>The ordering of the parameters in <CODE>w</CODE> is defined by the indexing of the +multi-dimensional array <CODE>net.map</CODE>. + +<p><h2> +See Also +</h2> +<CODE><a href="som.htm">som</a></CODE>, <CODE><a href="somunpak.htm">somunpak</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 |