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blockcluster
View on CRAN: Click
here
Download and install blockcluster package within the R console
Install from CRAN:
install.packages("blockcluster")
Install from Github:
library("remotes")
install_github("cran/blockcluster") Install by package version:
library("remotes")
install_version("blockcluster", "4.5.5") Attach the package and use:
library("blockcluster")
Maintained by
Serge Iovleff
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-07-04
Latest Update: 2024-02-23
Description:
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
, 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.
How to cite:
Serge Iovleff (2012). blockcluster: Co-Clustering Package for Binary, Categorical, Contingency and Continuous Data-Sets. R package version 4.5.5, https://cran.r-project.org/web/packages/blockcluster. Accessed 07 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:22), 1.0 (2012-07-04 18:56), 1.01 (2012-09-05 15:23), 2.0.1 (2013-02-22 16:21), 2.0.2 (2013-04-12 17:46), 2.0 (2013-02-22 12:13), 3.0.1 (2014-01-16 23:08), 3.0.2 (2015-01-23 12:38), 3.0 (2013-12-03 11:26), 4.0.2 (2015-11-27 11:41), 4.2.0 (2016-11-29 15:08), 4.2.1 (2016-11-30 14:55), 4.2.3 (2017-02-27 21:39), 4.2.6 (2018-01-24 18:56), 4.3.2 (2018-10-05 13:50), 4.4.3 (2019-03-26 19:00), 4.5.0 (2021-07-13 14:00), 4.5.1 (2021-07-28 13:20), 4.5.2 (2023-01-08 15:20), 4.5.3 (2023-02-17 23:10), 4.5.4 (2024-01-23 14:02), 4.5.5 (2024-02-23 14:40)
Other packages that cited blockcluster R package
View blockcluster citation profile
Other R packages that blockcluster depends,
imports, suggests or enhances
Complete documentation for blockcluster
Functions, R codes and Examples using
the blockcluster R package
Some associated functions: BinaryOptions-class . CategoricalOptions-class . CommonOptions-class . ContingencyOptions-class . ContinuousOptions-class . XEMStrategy . binarydata . blockcluster . categoricaldata . cocluster . coclusterBinary . coclusterCategorical . coclusterContingency . coclusterContinuous . coclusterStrategy . contingencydatalist . contingencydataunknown . gaussiandata . getter-methods . plot-methods . summary-methods .
Some associated R codes: RCocluster.R . cocluster.R . coclusterBinary.R . coclusterCategorical.R . coclusterContingency.R . coclusterContinuous.R . coclusterStrategy.R . onattach.R . optionclasses.R . Full blockcluster package functions and examples
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