wolffd@0: wolffd@0: wolffd@0: wolffd@0: Netlab Reference Manual gmmpost wolffd@0: wolffd@0: wolffd@0: wolffd@0:

gmmpost wolffd@0:

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wolffd@0: Purpose wolffd@0:

wolffd@0: Computes the class posterior probabilities of a Gaussian mixture model. wolffd@0: wolffd@0:

wolffd@0: Synopsis wolffd@0:

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wolffd@0: function post = gmmpost(mix, x)
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wolffd@0: Description wolffd@0:

wolffd@0: This function computes the posteriors post (i.e. the probability of each wolffd@0: component conditioned on the data p(j|x)) for a Gaussian mixture model. wolffd@0: The data structure mix defines the mixture model, while the matrix wolffd@0: x contains the data vectors. Each row of x represents a single wolffd@0: vector. wolffd@0: wolffd@0:

wolffd@0: See Also wolffd@0:

wolffd@0: gmm, gmmactiv, gmmprob
wolffd@0: Pages: wolffd@0: Index wolffd@0:
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Copyright (c) Ian T Nabney (1996-9) wolffd@0: wolffd@0: wolffd@0: wolffd@0: