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1 <html>
2 <head>
3 <title>
4 Netlab Reference Manual mdn2gmm
5 </title>
6 </head>
7 <body>
8 <H1> mdn2gmm
9 </H1>
10 <h2>
11 Purpose
12 </h2>
13 Converts an MDN mixture data structure to array of GMMs.
14
15 <p><h2>
16 Synopsis
17 </h2>
18 <PRE>
19 gmmmixes = mdn2gmm(mdnmixes)
20 </PRE>
21
22
23 <p><h2>
24 Description
25 </h2>
26 <CODE>gmmmixes = mdn2gmm(mdnmixes)</CODE> takes an MDN mixture data structure
27 <CODE>mdnmixes</CODE>
28 containing three matrices (for priors, centres and variances) where each
29 row represents the corresponding parameter values for a different mixture model
30 and creates an array of GMMs. These can then be used with the standard
31 Netlab Gaussian mixture model functions.
32
33 <p><h2>
34 Example
35 </h2>
36 <PRE>
37
38 mdnmixes = mdnfwd(net, x);
39 mixes = mdn2gmm(mdnmixes);
40 p = gmmprob(mixes(1), y);
41 </PRE>
42
43 This creates an array GMM mixture models (one for each data point in
44 <CODE>x</CODE>). The vector <CODE>p</CODE> is then filled with the conditional
45 probabilities of the values <CODE>y</CODE> given <CODE>x(1,:)</CODE>.
46
47 <p><h2>
48 See Also
49 </h2>
50 <CODE><a href="gmm.htm">gmm</a></CODE>, <CODE><a href="mdn.htm">mdn</a></CODE>, <CODE><a href="mdnfwd.htm">mdnfwd</a></CODE><hr>
51 <b>Pages:</b>
52 <a href="index.htm">Index</a>
53 <hr>
54 <p>Copyright (c) Ian T Nabney (1996-9)
55 <p>David J Evans (1998)
56
57 </body>
58 </html>