Section: New Software and Platforms

BLOCKCLUSTER software

Participants : Vincent Brault, Gilles Celeux, Christine Keribin.

Mixture model, Block cluster analysis,

Blockcluster is a software devoted on model-based block clustering. It is developed by MODAL team (Inria Lille). With Parmeet Bathia (Inria Lille), Vincent Brault has added a Bayesian point of view for the binary, categorial and continuous datas with the variational Bayes algorithm. It ha been enriched by a full Bayesian version using a Gibbs sampler. This Gibbs sampler coulpled with the variaotional Bayes algorithm provides solutions more stable and less dependent of the starting values of the algorithm. An exact expression of criterion ICL has been provided. This criterion or BIC are used for selecting a relevant block clustering.