blockcluster: Co-Clustering package for Binary, Contingency and Continuous data-sets

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 and continuous 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.

Version: 2.0.2
Depends: Rcpp (≥ 0.9.9), R (≥ 2.14), methods
LinkingTo: Rcpp
Published: 2013-04-12
Author: Parmeet Bhatia & Serge Iovleff & Gerard Goavert, with contributions from Christophe Biernacki and Gilles Celeux.
Maintainer: Parmeet Bhatia <parmeet.bhatia at inria.fr>
License: GPL (≥ 3)
NeedsCompilation: yes
CRAN checks: blockcluster results

Downloads:

Package source: blockcluster_2.0.2.tar.gz
MacOS X binary: blockcluster_2.0.2.tgz
Windows binary: blockcluster_2.0.2.zip
Reference manual: blockcluster.pdf
Vignettes: User manual
Old sources: blockcluster archive