Package: geokmeans
Type: Package
Title: A Collection of Fast, Exact and Eco-Friendly k-Means Clustering
        Algorithms
Version: 0.1.0
Authors@R: c(
    person("Parichit", "Sharma", email = "parishar@iu.edu", role = c("aut", "cre", "cph")),
    person("Hasan", "Kurban", role = "aut"))
Description: 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.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp
LinkingTo: Rcpp, RcppEigen
SystemRequirements: C++17
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://github.com/parichit/Geometric-k-means
BugReports: https://github.com/parichit/Geometric-k-means/issues
NeedsCompilation: yes
Packaged: 2026-06-17 16:23:38 UTC; parichit
Author: Parichit Sharma [aut, cre, cph],
  Hasan Kurban [aut]
Maintainer: Parichit Sharma <parishar@iu.edu>
Config/roxygen2/version: 8.0.0
Repository: CRAN
Date/Publication: 2026-06-22 16:10:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-06-22 19:43:29 UTC; unix
Archs: geokmeans.so.dSYM
