blockcluster: Co-Clustering package for Binary, Contingency and Continuous
data-sets
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.
| Version: |
2.0.2 |
| Depends: |
Rcpp (≥ 0.9.9), R (≥ 2.14), methods |
| LinkingTo: |
Rcpp |
| Published: |
2013-04-12 |
| Author: |
Parmeet Bhatia & Serge Iovleff & Gerard Goavert, with
contributions from Christophe Biernacki and Gilles Celeux. |
| Maintainer: |
Parmeet Bhatia <parmeet.bhatia at inria.fr> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
yes |
| CRAN checks: |
blockcluster results |
Downloads: