Title: Co-Clustering package for Binary, contingency and continuous
Author: Parmeet Bhatia and Serge Iovleff and G<c3><a9>rard Goavert,
with contributions from Christophe Biernacki and Gilles Celeux.
Maintainer: Parmeet Singh Bhatia <parmeet.bhatia@inria.fr>
Description: This package allows to co-cluster Binary, contingency and
continuous data-sets. It also provides utility functions to
visualize the results. This package may be useful for various
applications in fields of Data mining, Biology etc.
Collate: 'Strategy.R' 'optionclasses.R' 'summary.R' 'plot.R' 'onload.R'
Packaged: 2012-07-04 15:28:13 UTC; modal-laptop

Package: blockcluster
Type: Package
Title: Co-Clustering package for Binary, Contingency and Continuous
data-sets.
Version: 1.01
Encoding: UTF-8
Date: 2012-02-22
Author: Parmeet Bhatia & Serge Iovleff & Gerard Goavert, with
contributions from Christophe Biernacki and Gilles Celeux.
Maintainer: Parmeet Singh Bhatia <parmeet.bhatia@inria.fr>
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 and the R statistical computing environment.
This package allows to co-cluster Binary, contingency and
continuous 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.
License: GPL (>= 3)
LazyLoad: yes
Depends: Rcpp (>= 0.9.9), R (>= 2.14), methods
LinkingTo: Rcpp
Collate: 'Strategy.R' 'optionclasses.R' 'summary.R' 'plot.R' 'onload.R'
'Rcoclust.R' 'cocluster.R'
Packaged: 2012-09-05 11:30:02 UTC; root
Repository: CRAN
Date/Publication: 2012-09-05 13:23:49

Package: blockcluster
Type: Package
Title: Co-Clustering package for Binary, Contingency and Continuous
data-sets.
Version: 2.0.1
Encoding: UTF-8
Date: 2012-02-22
Author: Parmeet Bhatia & Serge Iovleff & Gerard Goavert, with
contributions from Christophe Biernacki and Gilles Celeux.
Maintainer: Parmeet Bhatia <parmeet.bhatia@inria.fr>
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 and the R statistical computing environment.
This package allows to co-cluster Binary, contingency and
continuous 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.
License: GPL (>= 3)
LazyLoad: yes
Depends: Rcpp (>= 0.9.9), R (>= 2.14), methods
LinkingTo: Rcpp
Collate: 'Strategy.R' 'optionclasses.R' 'summary.R' 'plot.R'
'Rcoclust.R' 'onattach.R' 'cocluster.R'
Packaged: 2013-02-22 14:26:01 UTC; modal-laptop
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-02-22 16:21:45