Section: Software

MIXMOD

Participants : Christophe Biernacki, Serge Iovleff, Remi Lebret, Parmeet Bhatia.

MIXMOD (MIXture MODelling) is the core software of the modal team for two reasons. First, MIXMOD concerns main topics of modal since it is devoted to model-based supervised, unsupervised and semi-supervised classification for various data situations. Second, MIXMOD is now a well-distributed software since over 250 downloads/month are recorded for several years. Consequently, MIXMOD will be the main software for diffusing future methodological advances of the modal team.

MIXMOD is written in C++ (more than 10 000 lines), currently interfaced with Scilab and Matlab and distributed under GNU General Public License. An interface between MIXMOD and R is being to be developed by Rémi Lebret and will be soon available (during 2012).

Several other institutions partiticipate in the MIXMOD development since several years: CNRS, INRIA Saclay-Île de France, Université de Franche-Comté, Université Lille 1. The software already benefits from several APP depositions and leads also to some international publications(C. Biernacki, G. Celeux, G. Govaert and F. Langrognet, Model-Based Cluster and Discriminant Analysis with the mixmod Software, Computational Statistics and Data Analysis, Vol. 52, no 2, 587–600, 2006).

In addition, an INRIA ADT grant (Parmeet Bhatia) will also develop co-clustering models for continuous, binary and discrete data. It is a strategic development for MIXMOD since offering the ability to structure very large data tables both in lines and columns for different data types. In particular, it opens wide potential applications in biology, marketing, etc.

Serge Iovleff is the main supervisor of software engineers who are recruited for all the previously described tasks. More information about MIXMOD can be easily found on its web page http://www.mixmod.org/ .