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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: 0.1.0
Depends: R (≥ 4.1.0)
Imports: stats
Suggests: clue, data.table (≥ 1.15.0), GGally, ggfortify, ggplot2, knitr, mlr3cluster, mlr3misc, mlr3viz, paradox (≥ 0.6.0), R6, rmarkdown, testthat (≥ 3.3.0), withr (≥ 2.4.0)
Published: 2026-08-05
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)
mlr3 Integration (source, R code)

Downloads:

Package source: gmeans_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: gmeans_0.1.0.zip, r-oldrel: gmeans_0.1.0.zip
macOS binaries: r-release (arm64): gmeans_0.1.0.tgz, r-oldrel (arm64): gmeans_0.1.0.tgz, r-release (x86_64): gmeans_0.1.0.tgz, r-oldrel (x86_64): gmeans_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gmeans to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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