Other packages > Find by keyword >

blockcluster  

Co-Clustering Package for Binary, Categorical, Contingency and Continuous Data-Sets
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]
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 Jun. 2026.
Previous versions and publish date:
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

xmlr  
Read, Write and Work with 'XML' Data
'XML' package for creating and reading and manipulating 'XML', with an object model based on 'Refere ...
Download / Learn more Package Citations See dependency  
roxygen2  
In-Line Documentation for R
Generate your Rd documentation, 'NAMESPACE' file, and collation field using specially formatted com ...
Download / Learn more Package Citations See dependency  
curtailment  
Finds Binary Outcome Designs Using Stochastic Curtailment
Finds single- and two-arm designs using stochastic curtailment, as described by Law et al. (2022) ...
Download / Learn more Package Citations See dependency  
embryogrowth  
Tools to Analyze the Thermal Reaction Norm of Embryo Growth
Tools to analyze the embryo growth and the sexualisation thermal reaction norms. See ...
Download / Learn more Package Citations See dependency  
gRain  
Bayesian Networks
Probability propagation in graphical independence networks, also known as Bayesian networks or prob ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  

27,372

R Packages

233,548

Dependencies

72,820

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA