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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/dem2ddat.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/dem2ddat.htm b/sourcecodes/bnt-master/nethelp3.3/dem2ddat.htm new file mode 100644 index 00000000..5dd49ba5 --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/dem2ddat.htm @@ -0,0 +1,48 @@ +<html> +<head> +<title> +Netlab Reference Manual dem2ddat +</title> +</head> +<body> +<H1> dem2ddat +</H1> +<h2> +Purpose +</h2> +Generates two dimensional data for demos. + +<p><h2> +Synopsis +</h2> +<PRE> +data = dem2ddat(ndata)</PRE> + +<PRE> +[data, c] = dem2ddat(ndata)</PRE> + + +<p><h2> +Description +</h2> +The data is +drawn from three spherical Gaussian distributions with priors 0.3, +0.5 and 0.2; centres (2, 3.5), (0, 0) and (0,2); and standard deviations +0.2, 0.5 and 1.0. <CODE>data = dem2ddat(ndata)</CODE> generates <CODE>ndata</CODE> +points. + +<p><CODE>[data, c] = dem2ddat(ndata)</CODE> also returns a matrix containing the +centres of the Gaussian distributions. + +<p><h2> +See Also +</h2> +<CODE><a href="demgmm1.htm">demgmm1</a></CODE>, <CODE><a href="demkmean.htm">demkmean</a></CODE>, <CODE><a href="demknn1.htm">demknn1</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 |