CategoricalOptions-class


This class contains all the input options as well as the estimated paramters for categorical data-set. It inherits
from base class <code>CommonOptions</code>. The class contains following output parameters given in 'Details' along
with the parameters in base class.


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.

CategoricalOptions-class: Categorical input/output options

Description

Arguments

Details