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Author: Antonio Punzo and Paul D. McNicholas
Description: Parsimonious Mixtures of Contaminated Gaussian Distributions

Author: Wei-Chen Chen, George Ostrouchov
Description: The pmclust aims to utilize model-based clustering
(unsupervised) for high dimensional and ultra large data,
especially in a distributed manner. The package employs Rmpi to
perform a parallel version of expectation and maximization (EM)
algorithm for finite mixture Gaussian models. The unstructured
dispersion matrices are assumed in the Gaussian models. The
implementation is default in the single program multiple data
(SPMD) programming model. The code can be executed through Rmpi
and independent to most MPI applications. See the High
Performance Statistical Computing (HPSC) website for more

Package: pmclust
Version: 0.1-3
Date: 2013-01-01
Title: Parallel Model-Based Clustering
Authors@R: c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email =
"wccsnow@gmail.com"), person("George", "Ostrouchov", role =
"aut"))
Depends: R (>= 2.13.0), methods, rlecuyer, pbdMPI, MASS, MixSim
LazyLoad: yes
LazyData: yes
Description: The pmclust aims to utilize model-based clustering
(unsupervised) for high dimensional and ultra large data,
especially in a distributed manner. The package employs Rmpi to
perform a expectation-gathering-maximization (EGM) algorithm
for finite mixture Gaussian models. The unstructured dispersion
matrices are assumed in the Gaussian models. The implementation
is default in the single program multiple data (SPMD)
programming model. The code can be executed through Rmpi and
independent to most MPI applications. See the High Performance
Statistical Computing (HPSC) website for more information,
documents and examples.
License: GPL (>= 2)
URL: http://r-pbd.org/
Packaged: 2013-01-01 05:07:31 UTC; snoweye
Author: Wei-Chen Chen [aut, cre], George Ostrouchov [aut]
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>
Repository: CRAN
Date/Publication: 2013-01-01 07:41:02

Depends: R (>= 2.14.0), methods, MASS, MixSim, rlecuyer, pbdMPI (>=