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Rcoclust (version 0.1.1)

Co-Clustering with Document-Term Matrix

Description

Functions for co-clustering with C code illustrating two diagonal approaches, (Ailem & Role & Nadif, 2016, ), (Laclau & Nadif, 2016, ). A relevant initialization and a suitable setting of the parameters are required. For a dimensionality reduction via random projection, a function is included.

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Install

install.packages('Rcoclust')

Monthly Downloads

8

Version

0.1.1

License

GPL (>= 3)

Maintainer

R. Priam

Last Published

February 20th, 2017

Functions in Rcoclust (0.1.1)

data_webace

Document-term matrix of 20 topics with sparse format
data_ng20

Document-term matrix of 20 newgroups with sparse format
data_classic3

Document-term matrix of three corpora with sparse format
get_envrdata

Construction of the data for the co-clustering procedures
randp

Random projection for sparse matrix
data_news4

Document-term matrix of four newgroups with sparse format
data_cstr

Document-term matrix of four research topics with sparse format
data_ng5

Document-term matrix of five newgroups with sparse format
cc_ddkm

DDKM
cc_coclus

CoClus