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1 <html>
2 <head>
3 <title>
4 Netlab Reference Manual gmmsamp
5 </title>
6 </head>
7 <body>
8 <H1> gmmsamp
9 </H1>
10 <h2>
11 Purpose
12 </h2>
13 Sample from a Gaussian mixture distribution.
14
15 <p><h2>
16 Synopsis
17 </h2>
18 <PRE>
19 data = gmmsamp(mix, n)
20 [data, label] = gmmsamp(mix, n)
21 </PRE>
22
23
24 <p><h2>
25 Description
26 </h2>
27
28 <p><CODE>data = gsamp(mix, n)</CODE> generates a sample of size <CODE>n</CODE> from a
29 Gaussian mixture distribution defined by the <CODE>mix</CODE> data
30 structure. The matrix <CODE>x</CODE> has <CODE>n</CODE>
31 rows in which each row represents a <CODE>mix.nin</CODE>-dimensional sample vector.
32
33 <p><CODE>[data, label] = gmmsamp(mix, n)</CODE> also returns a column vector of
34 classes (as an index 1..N) <CODE>label</CODE>.
35
36 <p><h2>
37 See Also
38 </h2>
39 <CODE><a href="gsamp.htm">gsamp</a></CODE>, <CODE><a href="gmm.htm">gmm</a></CODE><hr>
40 <b>Pages:</b>
41 <a href="index.htm">Index</a>
42 <hr>
43 <p>Copyright (c) Ian T Nabney (1996-9)
44
45
46 </body>
47 </html>