This package performs Co-clustering of binary, contingency, continuous and categorical data-sets.
This package performs Co-clustering of binary, contingency, continuous and
categorical data-sets with utility functions to visualize the Co-clustered
data. The package contains a set of functions
coclusterContinuous which perform Co-clustering on various
kinds of data-sets and return object of appropriate class (refer to
documentation of these functions. The package also contains function
coclusterStrategy (see documentation of function to know
various slots) which returns an object of class
This object can be given as input to co-clustering functions to control
various Co-clustering parameters. Please refer to testmodels.R file which is
included in "test" directory to see examples with various models and
The package also provide utility functions like summary() and plot() to summarize results and plot the original and Co-clustered data respectively.
## Simple example with simulated binary data ## load data data(binarydata) ## usage of coclusterBinary function in its most simplest form out<-coclusterBinary(binarydata,nbcocluster=c(2,3)) #" Summarize the output results summary(out) ## Plot the original and Co-clustered data plot(out)
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