Learn R Programming

⚠️There's a newer version (4.5.5) of this package.Take me there.

blockcluster (version 1.01)

Co-Clustering package for Binary, Contingency and Continuous data-sets.

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 and the R statistical computing environment. This package allows to co-cluster Binary, contingency and continuous 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.

Copy Link

Version

Install

install.packages('blockcluster')

Monthly Downloads

373

Version

1.01

License

GPL (>= 3)

Maintainer

Parmeet Bhatia

Last Published

September 5th, 2012

Functions in blockcluster (1.01)

cocluststrategy

Strategy function
ContingencyOptions-class

Contingency input/output options
cocluster

Co-Clustering function.
ContinuousOptions-class

Continuous input/output options
CommonOptions-class

Common Input/Output options.
strategy-class

strategy class
[

Getter method for Rcoclust output
XEMStrategy

An EM strategy to obtain a good optimum.
contingencydatalist

Simulated Contingency Data-set
binarydata

Simulated Binary Data-set
gaussiandata

Simulated Gaussian Data-set
contingencydataunknown

Simulated Contingency Data-set
BinaryOptions-class

Binary input/output options
plot

Plot function.
summary

Summary function.
blockcluster

Co-Clustering Package