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DESCRIPTION

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@@ -14,13 +14,14 @@ LazyLoad: yes
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LazyData: yes
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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 code employs pbdMPI to perform a
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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
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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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through 'pbdMPI' and MPI' implementations such as 'OpenMPI'
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and 'MPICH'.
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See the High Performance Statistical Computing website
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<https://snoweye.github.io/hpsc/>
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for more information, documents and examples.

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