blockcluster: Coclustering Package for Binary, Categorical, Contingency and Continuous Data-Sets
Version 4.2.3

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.

Package details

AuthorSerge Iovleff [aut, cre], Parmeet Singh Bhatia [aut], Josselin Demont [ctb], Gerard Goavert [ctb], Vincent Brault [ctb], Christophe Biernacki [ctb], Gilles Celeux [ctb]
Date of publication2017-02-27 21:39:25
MaintainerSerge Iovleff <Serge.Iovleff@stkpp.org>
LicenseGPL (>= 3)
Version4.2.3
URL https://gforge.inria.fr/projects/cocluster/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("blockcluster")

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blockcluster documentation built on May 30, 2017, 5:22 a.m.