wolffd@0: wolffd@0: wolffd@0: wolffd@0: Netlab Reference Manual gmmactiv wolffd@0: wolffd@0: wolffd@0: wolffd@0:

gmmactiv wolffd@0:

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wolffd@0: Purpose wolffd@0:

wolffd@0: Computes the activations of a Gaussian mixture model. wolffd@0: wolffd@0:

wolffd@0: Synopsis wolffd@0:

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wolffd@0: a = gmmactiv(mix, x)
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wolffd@0: Description wolffd@0:

wolffd@0: This function computes the activations a (i.e. the wolffd@0: probability p(x|j) of the data conditioned on each component density) wolffd@0: for a Gaussian mixture model. For the PPCA model, each activation wolffd@0: is the conditional probability of x given that it is generated wolffd@0: by the component subspace. 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, gmmpost, 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: