Model-based cluster and discriminant analysis with the MIXMOD software

@article{Biernacki2006ModelbasedCA,
  title={Model-based cluster and discriminant analysis with the MIXMOD software},
  author={Christophe Biernacki and Gilles Celeux and G{\'e}rard Govaert and Florent Langrognet},
  journal={Computational Statistics & Data Analysis},
  year={2006},
  volume={51},
  pages={587-600}
}
The mixmod (mixture modeling) program fits mixture models to a given data set for the purposes of density estimation, clustering or discriminant analysis. A large variety of algorithms to estimate the mixture parameters are proposed (EM, Classification EM, Stochastic EM), and it is possible to combine these to yield different strategies for obtaining a sensible maximum for the likelihood (or complete-data likelihood) function. mixmod is currently intended to be used for multivariate Gaussian… CONTINUE READING
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