Installation
About
Aims to utilize model-based clustering (unsupervised) for high dimensional and ultra large data, especially in a distributed manner. The code employs 'pbdMPI' to perform a expectation-gathering-maximization 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
Citation | pmclust citation info |
pbdr.org/ | |
Mailing list | Please send questions and comments to [email protected] |
Bug report | File report |
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Maintainer
Maintainer | Wei-Chen Chen |