CRAN/E | blockcluster

blockcluster

Co-Clustering Package for Binary, Categorical, Contingency and Continuous Data-Sets

Installation

About

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 build on top of the 'STK++' library, and the R statistical computing environment. This package allows to co-cluster binary doi:10.1016/j.csda.2007.09.007, contingency doi:10.1080/03610920903140197, continuous doi:10.1007/s11634-013-0161-3 and categorical data-sets doi:10.1007/s11222-014-9472-2. 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.

Citation blockcluster citation info
gitlab.inria.fr/iovleff/blockcluster
Copyright Inria
System requirements GNU make

Key Metrics

Version 4.5.4
R ≥ 3.0.2
Published 2024-01-23 106 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks blockcluster results

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Maintainer

Maintainer

Serge Iovleff

Serge.Iovleff@stkpp.org

Authors

Serge Iovleff

aut / cre

Parmeet Singh Bhatia

aut

Josselin Demont

ctb

Vincent Brault

ctb

Vincent Kubicki

ctb

Gerard Goavert

ctb

Christophe Biernacki

ctb

Gilles Celeux

ctb

Material

NEWS
Reference manual
Package source

Vignettes

blockcluster tutorial

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

blockcluster archive

Depends

R ≥ 3.0.2
rtkore ≥ 1.5.5

Imports

methods

LinkingTo

Rcpp

Reverse Suggests

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