Package: pmclust
Version: 0.2-2
Date: 2023-09-03
Title: Parallel Model-Based Clustering using
        Expectation-Gathering-Maximization Algorithm for Finite Mixture
        Gaussian Model
Authors@R: c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email =
        "wccsnow@gmail.com"), person("George", "Ostrouchov", role = "aut"))
Depends: R (>= 3.0.0), pbdMPI (>= 0.4-2)
Imports: methods, MASS
Enhances: MixSim
LazyLoad: yes
LazyData: yes
Description: 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.
License: GPL (>= 2)
URL: https://pbdr.org/
BugReports: https://github.com/snoweye/pmclust/issues
MailingList: Please send questions and comments to wccsnow@gmail.com
NeedsCompilation: yes
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>
Config/pak/sysreqs: libopenmpi-dev
Repository: https://snoweye.r-universe.dev
Date/Publication: 2023-09-03 23:04:12 UTC
RemoteUrl: https://github.com/snoweye/pmclust
RemoteRef: HEAD
RemoteSha: 1523c5f12ef9b96fc60d2151d72e2e455f957e6d
Packaged: 2026-06-03 06:34:16 UTC; root
Author: Wei-Chen Chen [aut, cre],
  George Ostrouchov [aut]