Daniel@0: Daniel@0: Daniel@0: Daniel@0: Netlab Reference Manual gmmactiv Daniel@0: Daniel@0: Daniel@0: Daniel@0:

gmmactiv Daniel@0:

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Daniel@0: Purpose Daniel@0:

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

Daniel@0: Synopsis Daniel@0:

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Daniel@0: 
Daniel@0: a = gmmactiv(mix, x)
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Daniel@0: Daniel@0: Daniel@0:

Daniel@0: Description Daniel@0:

Daniel@0: This function computes the activations a (i.e. the Daniel@0: probability p(x|j) of the data conditioned on each component density) Daniel@0: for a Gaussian mixture model. For the PPCA model, each activation Daniel@0: is the conditional probability of x given that it is generated Daniel@0: by the component subspace. Daniel@0: The data structure mix defines the mixture model, while the matrix Daniel@0: x contains the data vectors. Each row of x represents a single Daniel@0: vector. Daniel@0: Daniel@0:

Daniel@0: See Also Daniel@0:

Daniel@0: gmm, gmmpost, gmmprob

Daniel@0: Pages: Daniel@0: Index Daniel@0:

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