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author Daniel Wolff
date Fri, 19 Aug 2016 13:07:06 +0200
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Daniel@0 1 <html>
Daniel@0 2 <head>
Daniel@0 3 <title>
Daniel@0 4 Netlab Reference Manual gmmactiv
Daniel@0 5 </title>
Daniel@0 6 </head>
Daniel@0 7 <body>
Daniel@0 8 <H1> gmmactiv
Daniel@0 9 </H1>
Daniel@0 10 <h2>
Daniel@0 11 Purpose
Daniel@0 12 </h2>
Daniel@0 13 Computes the activations of a Gaussian mixture model.
Daniel@0 14
Daniel@0 15 <p><h2>
Daniel@0 16 Synopsis
Daniel@0 17 </h2>
Daniel@0 18 <PRE>
Daniel@0 19
Daniel@0 20 a = gmmactiv(mix, x)
Daniel@0 21 </PRE>
Daniel@0 22
Daniel@0 23
Daniel@0 24 <p><h2>
Daniel@0 25 Description
Daniel@0 26 </h2>
Daniel@0 27 This function computes the activations <CODE>a</CODE> (i.e. the
Daniel@0 28 probability <CODE>p(x|j)</CODE> of the data conditioned on each component density)
Daniel@0 29 for a Gaussian mixture model. For the PPCA model, each activation
Daniel@0 30 is the conditional probability of <CODE>x</CODE> given that it is generated
Daniel@0 31 by the component subspace.
Daniel@0 32 The data structure <CODE>mix</CODE> defines the mixture model, while the matrix
Daniel@0 33 <CODE>x</CODE> contains the data vectors. Each row of <CODE>x</CODE> represents a single
Daniel@0 34 vector.
Daniel@0 35
Daniel@0 36 <p><h2>
Daniel@0 37 See Also
Daniel@0 38 </h2>
Daniel@0 39 <CODE><a href="gmm.htm">gmm</a></CODE>, <CODE><a href="gmmpost.htm">gmmpost</a></CODE>, <CODE><a href="gmmprob.htm">gmmprob</a></CODE><hr>
Daniel@0 40 <b>Pages:</b>
Daniel@0 41 <a href="index.htm">Index</a>
Daniel@0 42 <hr>
Daniel@0 43 <p>Copyright (c) Ian T Nabney (1996-9)
Daniel@0 44
Daniel@0 45
Daniel@0 46 </body>
Daniel@0 47 </html>