# gmmactiv

## Purpose

Computes the activations of a Gaussian mixture model.

## Synopsis

    a = gmmactiv(mix, x)

## Description

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

Pages: Index

Copyright (c) Ian T Nabney (1996-9)