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DESCRIPTION

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Package: pmclust
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Version: 0.1-7
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Date: 2016-06-07
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Title: Parallel Model-Based Clustering
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Title: Parallel Model-Based Clustering using
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Expectation-Gathering-Maximization Algorithm for Finite Mixture
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Gaussian Model
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Authors@R: c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email =
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"[email protected]"), person("George", "Ostrouchov", role = "aut"))
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Depends: R (>= 3.0.0), pbdMPI (>= 0.3-1), pbdBASE (>= 0.4-3), pbdDMAT
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Enhances: MixSim
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LazyLoad: yes
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LazyData: yes
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Description: The pmclust aims to utilize model-based clustering (unsupervised)
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Description: Aims to utilize model-based clustering (unsupervised)
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for high dimensional and ultra large data, especially in a distributed
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manner. The package employs Rmpi to perform a
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expectation-gathering-maximization (EGM) algorithm
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manner. The code employs pbdMPI to perform a
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expectation-gathering-maximization algorithm
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for finite mixture Gaussian
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models. The unstructured dispersion matrices are assumed in the Gaussian
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models. The implementation is default in the single program multiple
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data (SPMD) programming model. The code can be executed through Rmpi and
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independent to most MPI applications. See the High Performance
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Statistical Computing (HPSC) website for more information, documents
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models. The unstructured dispersion matrices are assumed in the
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Gaussian models. The implementation is default in the single program
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multiple data programming model. The code can be executed
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through pbdMPI and independent to most MPI applications.
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See the High Performance
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Statistical Computing website for more information, documents
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and examples.
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License: GPL (>= 2)
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URL: http://r-pbd.org/
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BugReports: http://group.r-pbd.org/
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MailingList: Please send questions and comments regarding pbdR to
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NeedsCompilation: yes
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Packaged: 2016-01-24 16:48:25 UTC; snoweye
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Packaged: 2016-01-24 20:10:34 UTC; snoweye
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Author: Wei-Chen Chen [aut, cre],
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George Ostrouchov [aut]
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Maintainer: Wei-Chen Chen <[email protected]>

NAMESPACE

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useDynLib(pmclust)
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import(methods, MASS, pbdBASE, pbdDMAT)
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importFrom(stats,rnorm)
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importFrom(pbdMPI,spmd.allgather.integer)
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importFrom(pbdMPI,spmd.allgather.object)
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importFrom(pbdMPI,spmd.allreduce.integer)

inst/doc/pmclust-guide.pdf

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