gmeans: G-means Clustering

Gaussian-means (G-means) clustering is a clustering algorithm that extends the k-means algorithm by automatically determining the number of clusters.

Version: 0.3.0
Depends: R (≥ 4.1.0)
Imports: stats
Suggests: broom, clue, data.table (≥ 1.17.0), generics, ggplot2, knitr, rmarkdown, testthat (≥ 3.3.0), withr (≥ 2.4.0)
Published: 2026-10-24
DOI: 10.32614/CRAN.package.gmeans
Author: Maximilian Mücke ORCID iD [aut, cre]
Maintainer: Maximilian Mücke <muecke.maximilian at gmail.com>
BugReports: https://github.com/m-muecke/gmeans/issues
License: MIT + file LICENSE
URL: https://m-muecke.github.io/gmeans/, https://github.com/m-muecke/gmeans
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: gmeans results

Documentation:

Reference manual: gmeans.html , gmeans.pdf
Vignettes: Why G-means? (source, R code)

Downloads:

Package source: gmeans_0.3.0.tar.gz
Windows binaries: r-devel: gmeans_0.3.0.zip, r-release: gmeans_0.3.0.zip, r-oldrel: gmeans_0.3.0.zip
macOS binaries: r-release (arm64): gmeans_0.3.0.tgz, r-oldrel (arm64): gmeans_0.3.0.tgz, r-release (x86_64): gmeans_0.3.0.tgz, r-oldrel (x86_64): gmeans_0.3.0.tgz
Old sources: gmeans archive

Reverse dependencies:

Reverse suggests: mlr3cluster

Linking:

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