Mercurial > hg > camir-aes2014
view toolboxes/FullBNT-1.0.7/netlab3.3/gmmprob.m @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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function prob = gmmprob(mix, x) %GMMPROB Computes the data probability for a Gaussian mixture model. % % Description % This function computes the unconditional data density P(X) for a % Gaussian mixture model. The data structure MIX defines the mixture % model, while the matrix X contains the data vectors. Each row of X % represents a single vector. % % See also % GMM, GMMPOST, GMMACTIV % % Copyright (c) Ian T Nabney (1996-2001) % Check that inputs are consistent errstring = consist(mix, 'gmm', x); if ~isempty(errstring) error(errstring); end % Compute activations a = gmmactiv(mix, x); % Form dot product with priors prob = a * (mix.priors)';