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Last Change: Sat Jun 09 12:00 PM 2007 J
pyem is a python module build upon numpy and scipy
(see http://www.scipy.org/) for learning mixtures models
using Expectation Maximization. For now, only Gaussian
Mixture Models are implemented. Included features:
* computation of Gaussian pdf for multi-variate Gaussian
random vectors (spherical, diagonal and full covariance matrices)
* Sampling of Gaussian Mixtures Models
* Confidence ellipsoides with probability at arbitrary level
* Classic EM for Gaussian Mixture Models
* K-mean based and random initialization for EM available
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