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]
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 08 May. 2025.
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)
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
04/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/2904/3005/0105/0205/0305/0405/0505/0605/07Downloads for blockcluster5101520253035404550TrendBars

Today's Hot Picks in Authors and Packages

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  
trajr  
Animal Trajectory Analysis
A toolbox to assist with statistical analysis of animal trajectories. It provides simple access to a ...
Download / Learn more Package Citations See dependency  
MXM  
Feature Selection (Including Multiple Solutions) and Bayesian Networks
Many feature selection methods for a wide range of response variables, including minimal, statistica ...
Download / Learn more Package Citations See dependency  
MultiATSM  
Multicountry Term Structure of Interest Rates Models
Estimation routines for several classes of affine term structure of interest rates models. All the m ...
Download / Learn more Package Citations See dependency  
gms  
'GAMS' Modularization Support Package
A collection of tools to create, use and maintain modularized model code written in the modeling la ...
Download / Learn more Package Citations See dependency  
gaussDiff  
Difference measures for multivariate Gaussian probability density functions
A collection difference measures for multivariate Gaussian probability density functions, such as t ...
Download / Learn more Package Citations See dependency  

24,205

R Packages

207,311

Dependencies

65,312

Author Associations

24,206

Publication Badges

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