CRAN/E | pmclust

pmclust

Parallel Model-Based Clustering using Expectation-Gathering-Maximization Algorithm for Finite Mixture Gaussian Model

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 for more information, documents and examples.

Citation pmclust citation info
pbdr.org/
Mailing list Please send questions and comments to [email protected]
Bug report File report

Key Metrics

Version 0.2-1
R ≥ 3.0.0
Published 2021-02-11 1336 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks pmclust results

Downloads

Yesterday 1 0%
Last 7 days 32 -63%
Last 30 days 201 +8%
Last 90 days 595 -11%
Last 365 days 2.786 +14%

Maintainer

Maintainer

Wei-Chen Chen

Authors

Wei-Chen Chen

aut / cre

George Ostrouchov

aut

Material

README
ChangeLog
Reference manual
Package source

Vignettes

pmclust-guide

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

pmclust archive

Depends

R ≥ 3.0.0
pbdMPI ≥ 0.4-2

Imports

methods
MASS

Enhances

MixSim