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annotate toolboxes/FullBNT-1.0.7/netlab3.3/gmmprob.m @ 0:cc4b1211e677 tip
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author | Daniel Wolff |
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date | Fri, 19 Aug 2016 13:07:06 +0200 |
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Daniel@0 | 1 function prob = gmmprob(mix, x) |
Daniel@0 | 2 %GMMPROB Computes the data probability for a Gaussian mixture model. |
Daniel@0 | 3 % |
Daniel@0 | 4 % Description |
Daniel@0 | 5 % This function computes the unconditional data density P(X) for a |
Daniel@0 | 6 % Gaussian mixture model. The data structure MIX defines the mixture |
Daniel@0 | 7 % model, while the matrix X contains the data vectors. Each row of X |
Daniel@0 | 8 % represents a single vector. |
Daniel@0 | 9 % |
Daniel@0 | 10 % See also |
Daniel@0 | 11 % GMM, GMMPOST, GMMACTIV |
Daniel@0 | 12 % |
Daniel@0 | 13 |
Daniel@0 | 14 % Copyright (c) Ian T Nabney (1996-2001) |
Daniel@0 | 15 |
Daniel@0 | 16 % Check that inputs are consistent |
Daniel@0 | 17 errstring = consist(mix, 'gmm', x); |
Daniel@0 | 18 if ~isempty(errstring) |
Daniel@0 | 19 error(errstring); |
Daniel@0 | 20 end |
Daniel@0 | 21 |
Daniel@0 | 22 % Compute activations |
Daniel@0 | 23 a = gmmactiv(mix, x); |
Daniel@0 | 24 |
Daniel@0 | 25 % Form dot product with priors |
Daniel@0 | 26 prob = a * (mix.priors)'; |