Aims to utilize modelbased clustering (unsupervised) for high dimensional and ultra large data, especially in a distributed manner. The code employs 'pbdMPI' to perform a expectationgatheringmaximization 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 programming model. The code can be executed through 'pbdMPI' and MPI' implementations such as 'OpenMPI' and 'MPICH'. See the High Performance Statistical Computing website <https://snoweye.github.io/hpsc/> for more information, documents and examples.
Package details 


Maintainer  WeiChen Chen <[email protected]> 
License  GPL (>= 2) 
Version  0.20 
URL  http://rpbd.org/ 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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