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blockcluster (version 4.5.5)

Co-Clustering Package for Binary, Categorical, 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 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.

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Version

Install

install.packages('blockcluster')

Monthly Downloads

506

Version

4.5.5

License

GPL (>= 3)

Maintainer

Last Published

February 23rd, 2024

Functions in blockcluster (4.5.5)

contingencydatalist

Simulated Contingency Data-set
gaussiandata

Simulated Gaussian Data-set
coclusterContinuous

Co-Clustering function.
summary,strategy-method

Summary function.
ContinuousOptions-class

Continuous input/output options
XEMStrategy

An EM strategy to obtain a good optimum.
binarydata

Simulated Binary Data-set
blockcluster

Co-Clustering Package
CommonOptions-class

Common Input/Output options.
ContingencyOptions-class

Contingency input/output options
BinaryOptions-class

Binary input/output options
coclusterContingency

Co-Clustering function.
CategoricalOptions-class

Categorical input/output options
coclusterStrategy

Strategy function
coclusterBinary

Co-Clustering function for Binary data.
contingencydataunknown

Simulated Contingency Data-set
coclusterCategorical

Co-Clustering function for categorical data-sets.
[,strategy-method

Getter method for blockcluster output
categoricaldata

Simulated categorical Data-set
cocluster

Co-Clustering function.
plot

Plot function.