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wolffd@0 1 <html>
wolffd@0 2 <head>
wolffd@0 3 <title>
wolffd@0 4 Netlab Reference Manual gmmsamp
wolffd@0 5 </title>
wolffd@0 6 </head>
wolffd@0 7 <body>
wolffd@0 8 <H1> gmmsamp
wolffd@0 9 </H1>
wolffd@0 10 <h2>
wolffd@0 11 Purpose
wolffd@0 12 </h2>
wolffd@0 13 Sample from a Gaussian mixture distribution.
wolffd@0 14
wolffd@0 15 <p><h2>
wolffd@0 16 Synopsis
wolffd@0 17 </h2>
wolffd@0 18 <PRE>
wolffd@0 19 data = gmmsamp(mix, n)
wolffd@0 20 [data, label] = gmmsamp(mix, n)
wolffd@0 21 </PRE>
wolffd@0 22
wolffd@0 23
wolffd@0 24 <p><h2>
wolffd@0 25 Description
wolffd@0 26 </h2>
wolffd@0 27
wolffd@0 28 <p><CODE>data = gsamp(mix, n)</CODE> generates a sample of size <CODE>n</CODE> from a
wolffd@0 29 Gaussian mixture distribution defined by the <CODE>mix</CODE> data
wolffd@0 30 structure. The matrix <CODE>x</CODE> has <CODE>n</CODE>
wolffd@0 31 rows in which each row represents a <CODE>mix.nin</CODE>-dimensional sample vector.
wolffd@0 32
wolffd@0 33 <p><CODE>[data, label] = gmmsamp(mix, n)</CODE> also returns a column vector of
wolffd@0 34 classes (as an index 1..N) <CODE>label</CODE>.
wolffd@0 35
wolffd@0 36 <p><h2>
wolffd@0 37 See Also
wolffd@0 38 </h2>
wolffd@0 39 <CODE><a href="gsamp.htm">gsamp</a></CODE>, <CODE><a href="gmm.htm">gmm</a></CODE><hr>
wolffd@0 40 <b>Pages:</b>
wolffd@0 41 <a href="index.htm">Index</a>
wolffd@0 42 <hr>
wolffd@0 43 <p>Copyright (c) Ian T Nabney (1996-9)
wolffd@0 44
wolffd@0 45
wolffd@0 46 </body>
wolffd@0 47 </html>