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1 <html>
2 <head>
3 <title>
4 Netlab Reference Manual demgmm5
5 </title>
6 </head>
7 <body>
8 <H1> demgmm5
9 </H1>
10 <h2>
11 Purpose
12 </h2>
13 Demonstrate density modelling with a PPCA mixture model.
14
15 <p><h2>
16 Synopsis
17 </h2>
18 <PRE>
19 demgmm5</PRE>
20
21
22 <p><h2>
23 Description
24 </h2>
25
26 The problem consists of modelling data generated
27 by a mixture of three Gaussians in 2 dimensions with a mixture model
28 using full covariance matrices. The priors are 0.3, 0.5 and 0.2; the
29 centres are (2, 3.5), (0, 0) and (0,2); the variances are (0.16, 0.64)
30 axis aligned, (0.25, 1) rotated by 30 degrees and the identity
31 matrix. The first figure contains a scatter plot of the data.
32
33 <p>A mixture model with three one-dimensional PPCA components is trained
34 using EM. The parameter vector is printed before training and after
35 training. The parameter vector consists of priors (the column), and
36 centres (given as (x, y) pairs as the next two columns).
37
38 <p>The second figure is a 3 dimensional view of the density function,
39 while the third shows the axes of the 1-standard deviation ellipses
40 for the three components of the mixture model together with the one
41 standard deviation along the principal component of each mixture
42 model component.
43
44 <p><h2>
45 See Also
46 </h2>
47 <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>
48 <b>Pages:</b>
49 <a href="index.htm">Index</a>
50 <hr>
51 <p>Copyright (c) Ian T Nabney (1996-9)
52
53
54 </body>
55 </html>