Description Usage Arguments Value Author(s) References See Also Examples
estimates the variational posterior distribution of a GMM that aggregates a collection of GMM. A lower bound is calculated and monitored at each iteration. This posterior can be used for various purposes (e.g. MC proposal distribution). It can be transformed using extractSimpleModel, outputing a GMM.
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models |
GMM made with the weighted sum of the collection of GMM to aggregate. |
ncomp |
number of components in the posterior. |
thres |
threshold for lower bound variations between 2 iterations. Convergence is decided if this variation is below thres. |
maxit |
if NULL, the stopping criterion is related to thres. If not NULL, maxit iterations are performed. |
estimated posterior with ncomp components.
Pierrick Bruneau
Bruneau, P., Gelgon, M., and Picarougne, F. (2010) _Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach_, Pattern Recognition, Volume 43, Pages 850-858.
varbayes extractSimpleModel
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