Participants : Gilles Celeux [ Correspondant ] , Jean-François Si Abdallah.
mixmod is being developed in collaboration with Christophe Biernacki, Florent Langrognet (Université de Franche-Comté) and Gérard Govaert (Université de Technologie de Compiègne). mixmod (mix ture mod elling) software fits mixture models to a given data set with either a clustering or a discriminant analysis purpose. mixmod uses a large variety of algorithms to estimate mixture parameters, e.g., EM, Classification EM, and Stochastic EM. They can be combined to create different strategies that lead to a sensible maximum of the likelihood (or completed likelihood) function. Moreover, different information criteria for choosing a parsimonious model, e.g. the number of mixture component, some of them favoring either a cluster analysis or a discriminant analysis view point, are included. Many Gaussian models for continuous variables and multinomial models for discrete variable are available. Written in C++, mixmod is interfaced with Scilab and Matlab . The software, the statistical documentation and also the user guide are available on the Internet at the following address: http://www-math.univ-fcomte.fr/mixmod/index.php .
Since November 2008, a new expert engineer Jean-François Si Abdallah has been hired for two years to continue to enrich the software, improve the peerformances, code a proper graphical library for clustering displays in mixmod and propose a version available via internet. On the other mixmod received the support of Digiteo to investigate the possibility of a commercial diffusion of this software aside its free diffusion.