Section: New Software and Platforms

BlockCluster

Block Clustering

Keywords: Statistic analysis - Clustering package

Scientific Description: Simultaneous clustering of rows and columns, usually designated by biclustering, co-clustering or block clustering, is an important technique in two way data analysis. It consists of estimating a mixture model which takes into account the block clustering problem on both the individual and variables sets. The blockcluster package provides a bridge between the C++ core library and the R statistical computing environment. This package allows to co-cluster binary, contingency, continuous and categorical data-sets. It also provides utility functions to visualize the results. This package may be useful for various applications in fields of Data mining, Information retrieval, Biology, computer vision and many more.

Functional Description: BlockCluster is an R package for co-clustering of binary, contingency and continuous data based on mixture models.

• Participants: Christophe Biernacki, Gilles Celeux, Parmeet Bhatia, Serge Iovleff, Vincent Brault and Vincent Kubicki

• Partner: Université de Technologie de Compiègne

• Contact: Serge Iovleff

• URL: http://cran.r-project.org/web/packages/blockcluster/index.html