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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "geokmeans" in publications use:'
type: software
license: GPL-3.0-only
title: 'geokmeans: A Collection of Fast, Exact and Eco-Friendly k-Means Clustering
  Algorithms'
version: 0.1.0
doi: 10.1007/s10994-025-06891-1
identifiers:
- type: doi
  value: 10.32614/CRAN.package.geokmeans
abstract: 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) <https://doi.org/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.
authors:
- family-names: Sharma
  given-names: Parichit
  email: parishar@iu.edu
- family-names: Kurban
  given-names: Hasan
preferred-citation:
  type: article
  title: 'Geometric-k-means: A Bound Free Approach to Fast and Eco-Friendly k-means'
  authors:
  - family-names: Sharma
    given-names: Parichit
    email: parishar@iu.edu
  - family-names: Malec
    given-names: Marcin
  - family-names: Kurban
    given-names: Hasan
  - family-names: Kulekci
    given-names: Oguzhan
  - family-names: Dalkilic
    given-names: Mehmet
  journal: Machine Learning
  year: '2026'
  volume: '115'
  issue: '2'
  doi: 10.1007/s10994-025-06891-1
  start: '30'
repository: https://parichit.r-universe.dev
repository-code: https://github.com/parichit/Geometric-k-means
commit: e08b6263440ee8dc61cc9548a6e9329a22b47cde
url: https://github.com/parichit/Geometric-k-means
date-released: '2026-06-17'
contact:
- family-names: Sharma
  given-names: Parichit
  email: parishar@iu.edu