A collection of fast k-means clustering algorithms under a single, uniform interface. The core method is Geometric-k-means, a bound-free algorithm of Sharma et al. (2026) <doi:10.1007/s10994-025-06891-1> that uses geometry to restrict computation to the data points able to change clusters, substantially reducing distance computations and runtime while returning the same result as standard k-means. Also included are Lloyd's algorithm, Elkan, Hamerly, Annulus, Exponion, and Ball k-means. All algorithms are implemented in 'C++' via 'Rcpp' and 'RcppEigen' and return the final centroids, optional per-point cluster assignments, and computational statistics.
| Version: | 0.1.0 |
| Imports: | Rcpp |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-06-22 |
| DOI: | 10.32614/CRAN.package.geokmeans |
| Author: | Parichit Sharma [aut, cre, cph], Hasan Kurban [aut] |
| Maintainer: | Parichit Sharma <parishar at iu.edu> |
| BugReports: | https://github.com/parichit/Geometric-k-means/issues |
| License: | GPL-3 |
| URL: | https://github.com/parichit/Geometric-k-means |
| NeedsCompilation: | yes |
| SystemRequirements: | C++17 |
| Citation: | geokmeans citation info |
| Materials: | README, NEWS |
| CRAN checks: | geokmeans results |
| Reference manual: | geokmeans.html , geokmeans.pdf |
| Vignettes: |
Getting started with geokmeans (source, R code) |
| Package source: | geokmeans_0.1.0.tar.gz |
| Windows binaries: | r-devel: geokmeans_0.1.0.zip, r-release: geokmeans_0.1.0.zip, r-oldrel: geokmeans_0.1.0.zip |
| macOS binaries: | r-release (arm64): geokmeans_0.1.0.tgz, r-oldrel (arm64): geokmeans_0.1.0.tgz, r-release (x86_64): geokmeans_0.1.0.tgz, r-oldrel (x86_64): geokmeans_0.1.0.tgz |
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