categoricaldata

It is a categorical data-set simulated using Categorical distribution with 5 modalities. It consist of three clusters in rows and two
  clusters in columns.

datasets

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, 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.

Vincent KUBICKI

blockcluster

Coclustering package for binary, contingency, continuous and
        categorical data-sets

categoricaldata function

A data matrix with 1000 rows and 100 columns.

categoricaldata: Simulated categorical Data-set

Description

Arguments

format

Examples