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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 <https://snoweye.github.io/hpsc/> for more information, documents and examples.
| Version: | 0.2-1 |
| Depends: | R (≥ 3.0.0), pbdMPI (≥ 0.4-2) |
| Imports: | methods, MASS |
| Enhances: | MixSim |
| Published: | 2021-02-11 |
| DOI: | 10.32614/CRAN.package.pmclust |
| Author: | Wei-Chen Chen [aut, cre], George Ostrouchov [aut] |
| Maintainer: | Wei-Chen Chen <wccsnow at gmail.com> |
| MailingList: | Please send questions and comments to wccsnow@gmail.com |
| BugReports: | https://github.com/snoweye/pmclust/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://pbdr.org/ |
| NeedsCompilation: | yes |
| Citation: | pmclust citation info |
| Materials: | README ChangeLog |
| CRAN checks: | pmclust results |
| Reference manual: | pmclust.pdf |
| Vignettes: |
pmclust-guide |
| Package source: | pmclust_0.2-1.tar.gz |
| Windows binaries: | r-devel: pmclust_0.2-1.zip, r-release: pmclust_0.2-1.zip, r-oldrel: pmclust_0.2-1.zip |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
| Old sources: | pmclust archive |
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These binaries (installable software) and packages are in development.
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