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.

Browse man pages Browse package API and functions Browse package files

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
InstallationInstall the latest version of this package by entering the following in R:
install.packages("blockcluster")

Man pages

binarydata: Simulated Binary Data-set
BinaryOptions-class: Binary input/output options
blockcluster: Co-Clustering Package
categoricaldata: Simulated categorical Data-set
CategoricalOptions-class: Categorical input/output options
cocluster: Co-Clustering function.
coclusterBinary: Co-Clustering function for Binary data.
coclusterCategorical: Co-Clustering function for categorical data-sets.
coclusterContingency: Co-Clustering function.
coclusterContinuous: Co-Clustering function.
coclusterStrategy: Strategy function
CommonOptions-class: Common Input/Output options.
contingencydatalist: Simulated Contingency Data-set
contingencydataunknown: Simulated Contingency Data-set
ContingencyOptions-class: Contingency input/output options
ContinuousOptions-class: Continuous input/output options
gaussiandata: Simulated Gaussian Data-set
getter-methods: Getter method for Rcoclust output
plot-methods: Plot function.
summary-methods: Summary function.
XEMStrategy: An EM strategy to obtain a good optimum.

Functions

BinaryOptions-class Man page
CategoricalOptions-class Man page
CommonOptions-class Man page
ContingencyOptions-class Man page
ContinuousOptions-class Man page
XEMStrategy Man page
[ Man page
[,BinaryOptions-method Man page
[,CategoricalOptions-method Man page
[,ContingencyOptions-method Man page
[,ContinuousOptions-method Man page
[,strategy-method Man page
binarydata Man page
blockcluster Man page
categoricaldata Man page
cocluster Man page Source code
coclusterBinary Man page Source code
coclusterCategorical Man page Source code
coclusterContingency Man page Source code
coclusterContinuous Man page Source code
coclusterStrategy Man page Source code
contingencydatalist Man page
contingencydataunknown Man page
gaussiandata Man page
onAttach Source code
plot Man page
plot,BinaryOptions-method Man page
plot,CategoricalOptions-method Man page
plot,ContingencyOptions-method Man page
plot,ContinuousOptions-method Man page
strategy-class Man page
summary Man page
summary,BinaryOptions-method Man page
summary,CategoricalOptions-method Man page
summary,ContingencyOptions-method Man page
summary,ContinuousOptions-method Man page
summary,strategy-method Man page

Files

inst
inst/CITATION
inst/doc
inst/doc/blockcluster_tutorial.Rnw
inst/doc/blockcluster_tutorial.pdf
inst/doc/blockcluster_tutorial.R
tests
tests/Contingency
tests/Contingency/contingency.R
tests/Categorical
tests/Categorical/categorical.R
tests/Continuous
tests/Continuous/continuous.R
tests/maketest.sh
tests/Binary
tests/Binary/binary.R
src
src/IDataExchange.h
src/Makevars
src/conversion.h
src/coclust
src/coclust/get_symbolic_link_without_trunk.sh
src/coclust/src
src/coclust/src/typedefs
src/coclust/src/typedefs/typedef.h
src/coclust/src/Algorithms
src/coclust/src/Algorithms/SEMAlgo.h
src/coclust/src/Algorithms/CEMAlgo.cpp
src/coclust/src/Algorithms/GibbsAlgo.cpp
src/coclust/src/Algorithms/IAlgo.h
src/coclust/src/Algorithms/EMAlgo.cpp
src/coclust/src/Algorithms/SEMAlgo.cpp
src/coclust/src/Algorithms/EMAlgo.h
src/coclust/src/Algorithms/GibbsAlgo.h
src/coclust/src/Algorithms/CEMAlgo.h
src/coclust/src/CoClustFacade
src/coclust/src/CoClustFacade/CoCluster.cpp
src/coclust/src/CoClustFacade/CoCluster.h
src/coclust/src/enumerations
src/coclust/src/enumerations/enumerations.h
src/coclust/src/Strategy
src/coclust/src/Strategy/XStrategyforSEMAlgo.h
src/coclust/src/Strategy/XStrategyforSEMAlgo.cpp
src/coclust/src/Strategy/XStrategyAlgo.cpp
src/coclust/src/Strategy/XStrategyAlgo.h
src/coclust/src/Strategy/IStrategy.h
src/coclust/src/Initialization
src/coclust/src/Initialization/CEMInit.h
src/coclust/src/Initialization/RandomInit.h
src/coclust/src/Initialization/EMInit.h
src/coclust/src/Initialization/IInit.h
src/coclust/src/InputParameters
src/coclust/src/InputParameters/InputParameters.h
src/coclust/src/InputParameters/InputParameters.cpp
src/coclust/src/Models
src/coclust/src/Models/ContingencyLBModel_mu_i_nu_j.h
src/coclust/src/Models/BinaryLBModel.cpp
src/coclust/src/Models/ContingencyLBModel_mu_i_nu_j.cpp
src/coclust/src/Models/ContinuousLBModelequalsigma.cpp
src/coclust/src/Models/BinaryLBModelequalepsilon.cpp
src/coclust/src/Models/ContingencyLBModel.h
src/coclust/src/Models/ContinuousLBModel.cpp
src/coclust/src/Models/ICoClustModel.cpp
src/coclust/src/Models/BinaryLBModel.h
src/coclust/src/Models/BinaryLBModelequalepsilon.h
src/coclust/src/Models/CategoricalLBModel.cpp
src/coclust/src/Models/ICoClustModel.h
src/coclust/src/Models/ContinuousLBModel.h
src/coclust/src/Models/ContingencyLBModel.cpp
src/coclust/src/Models/ContinuousLBModelequalsigma.h
src/coclust/src/Models/CategoricalLBModel.h
src/coclust/makefile
src/coclust/get_symbolic_link.sh
src/CategoricalDataExchange.cpp
src/ContingencyDataExchange.cpp
src/init_blockcluster.c
src/IDataExchange.cpp
src/BinaryDataExchange.cpp
src/Rcoclustmain.cpp
src/ContinuousDataExchange.cpp
src/CategoricalDataExchange.h
src/test
src/test/test.cpp
src/BinaryDataExchange.h
src/Rcoclustmain.h
src/Makevars.win
src/ContinuousDataExchange.h
src/ContingencyDataExchange.h
NAMESPACE
data
data/contingencydatalist.rda
data/contingencydataunknown.rda
data/categoricaldata.rda
data/gaussiandata.rda
data/binarydata.rda
R
R/optionclasses.R
R/coclusterCategorical.R
R/coclusterBinary.R
R/cocluster.R
R/coclusterStrategy.R
R/RCocluster.R
R/onattach.R
R/coclusterContingency.R
R/coclusterContinuous.R
vignettes
vignettes/blockcluster_tutorial.Rnw
vignettes/figs
vignettes/figs/distributionbinary.jpeg
vignettes/figs/orgdata.jpg
vignettes/figs/coclustersnake.jpg
vignettes/figs/coclustdata.jpg
vignettes/figs/binarysamplecocluster.png
vignettes/figs/coclustbinary1.jpg
vignettes/biblio.bib
MD5
build
build/vignette.rds
DESCRIPTION
man
man/summary-methods.Rd
man/ContingencyOptions-class.Rd
man/plot-methods.Rd
man/BinaryOptions-class.Rd
man/contingencydatalist.Rd
man/gaussiandata.Rd
man/CommonOptions-class.Rd
man/blockcluster.Rd
man/coclusterCategorical.Rd
man/coclusterStrategy.Rd
man/coclusterContingency.Rd
man/CategoricalOptions-class.Rd
man/binarydata.Rd
man/XEMStrategy.Rd
man/categoricaldata.Rd
man/cocluster.Rd
man/contingencydataunknown.Rd
man/getter-methods.Rd
man/coclusterContinuous.Rd
man/ContinuousOptions-class.Rd
man/coclusterBinary.Rd
cleanup
blockcluster documentation built on May 20, 2017, 3:10 a.m.