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wolffd@0 1 <html>
wolffd@0 2 <head>
wolffd@0 3 <title>
wolffd@0 4 Netlab Reference Manual gmmpost
wolffd@0 5 </title>
wolffd@0 6 </head>
wolffd@0 7 <body>
wolffd@0 8 <H1> gmmpost
wolffd@0 9 </H1>
wolffd@0 10 <h2>
wolffd@0 11 Purpose
wolffd@0 12 </h2>
wolffd@0 13 Computes the class posterior probabilities of a Gaussian mixture model.
wolffd@0 14
wolffd@0 15 <p><h2>
wolffd@0 16 Synopsis
wolffd@0 17 </h2>
wolffd@0 18 <PRE>
wolffd@0 19
wolffd@0 20 function post = gmmpost(mix, x)
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 This function computes the posteriors <CODE>post</CODE> (i.e. the probability of each
wolffd@0 28 component conditioned on the data <CODE>p(j|x)</CODE>) for a Gaussian mixture model.
wolffd@0 29 The data structure <CODE>mix</CODE> defines the mixture model, while the matrix
wolffd@0 30 <CODE>x</CODE> contains the data vectors. Each row of <CODE>x</CODE> represents a single
wolffd@0 31 vector.
wolffd@0 32
wolffd@0 33 <p><h2>
wolffd@0 34 See Also
wolffd@0 35 </h2>
wolffd@0 36 <CODE><a href="gmm.htm">gmm</a></CODE>, <CODE><a href="gmmactiv.htm">gmmactiv</a></CODE>, <CODE><a href="gmmprob.htm">gmmprob</a></CODE><hr>
wolffd@0 37 <b>Pages:</b>
wolffd@0 38 <a href="index.htm">Index</a>
wolffd@0 39 <hr>
wolffd@0 40 <p>Copyright (c) Ian T Nabney (1996-9)
wolffd@0 41
wolffd@0 42
wolffd@0 43 </body>
wolffd@0 44 </html>