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Package: pmclust
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Version: 0.1-5
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- Date: 2013-05 -13
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+ Date: 2013-06 -13
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Title: Parallel Model-Based Clustering
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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"))
@@ -11,15 +11,14 @@ 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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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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+ manner. The package employs pbdMPI to perform a
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expectation-gathering-maximization (EGM) 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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- and examples.
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+ for finite mixture Gaussian models. The unstructured dispersion
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+ matrices are assumed in the Gaussian models. The implementation is
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+ default in the single program multiple data (SPMD) programming model.
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+ The code can be executed through pbdMPI and independent to most MPI
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+ applications. See the High Performance Statistical Computing (HPSC)
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+ website for more information, documents 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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