blockcluster: Co-Clustering package for binary, contingency, continuous and categorical 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, 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. More information about the project and comprehensive tutorial can be found on the link mentioned in URL.

Version: 3.0.1
Depends: R (≥ 2.14), methods
Imports: Rcpp (≥ 0.9.9)
LinkingTo: Rcpp, RcppEigen
Published: 2014-01-16
Author: Parmeet Singh Bhatia, Serge Iovleff, Gerard Goavert, Vincent Brault, with contributions from Christophe Biernacki and Gilles Celeux.
Maintainer: Vincent KUBICKI <vincent.kubicki at inria.fr>
BugReports: https://gforge.inria.fr/forum/forum.php?forum_id=11190&group_id=3679
License: GPL (≥ 3)
Copyright: Parmeet Singh Bhatia
URL: https://modal.lille.inria.fr/pages/blockcluster.php
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: NA
Materials: NA
CRAN checks: blockcluster results

Downloads:

Reference manual: blockcluster.pdf
Vignettes: blockcluster tutorial
Package source: blockcluster_3.0.1.tar.gz
Windows binaries: r-devel: blockcluster_3.0.1.zip, r-release: blockcluster_3.0.1.zip, r-oldrel: blockcluster_3.0.1.zip
OS X Snow Leopard binaries: r-release: blockcluster_3.0.1.tgz, r-oldrel: blockcluster_3.0.1.tgz
OS X Mavericks binaries: r-release: blockcluster_3.0.1.tgz
Old sources: blockcluster archive