Mercurial > hg > camir-aes2014
diff toolboxes/FullBNT-1.0.7/nethelp3.3/demgmm5.htm @ 0:e9a9cd732c1e tip
first hg version after svn
| author | wolffd |
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| date | Tue, 10 Feb 2015 15:05:51 +0000 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/toolboxes/FullBNT-1.0.7/nethelp3.3/demgmm5.htm Tue Feb 10 15:05:51 2015 +0000 @@ -0,0 +1,55 @@ +<html> +<head> +<title> +Netlab Reference Manual demgmm5 +</title> +</head> +<body> +<H1> demgmm5 +</H1> +<h2> +Purpose +</h2> +Demonstrate density modelling with a PPCA mixture model. + +<p><h2> +Synopsis +</h2> +<PRE> +demgmm5</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 mixture model with three one-dimensional PPCA components is trained +using EM. The parameter vector is printed before training and after +training. The parameter vector consists of priors (the column), and +centres (given as (x, y) pairs as the next two columns). + +<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 together with the one +standard deviation along the principal component of each mixture +model component. + +<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="ppca.htm">ppca</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