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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "kkmeans" in publications use:'
type: software
license: GPL-3.0-only
title: 'kkmeans: Fast Implementations of Kernel K-Means'
version: 0.1.3
doi: 10.1002/sam.70032
identifiers:
- type: doi
  value: 10.32614/CRAN.package.kkmeans
abstract: Implementations several algorithms for kernel k-means. The default 'OTQT'
  algorithm is a fast alternative to standard implementations of kernel k-means, particularly
  in cases with many clusters. For a small number of clusters, the implemented 'MacQueen'
  method typically performs the fastest. For more details and performance evaluations,
  see Berlinski and Maitra (2025) <https://doi.org/10.1002/sam.70032>.
authors:
- family-names: Berlinski
  given-names: Josh
  email: jdberlinski@gmail.com
preferred-citation:
  type: article
  title: Computational Improvements to the Kernel $k$-Means Clustering Algorithm
  authors:
  - family-names: Berlinski
    given-names: Joshua D.
  - family-names: Maitra
    given-names: Ranjan
  journal: Statistical Analysis and Data Mining
  year: '2025'
  volume: '18'
  issue: '4'
  doi: 10.1002/sam.70032
  start: e70032
repository: https://jdberlinski.r-universe.dev
commit: 81d7508d3b9c8718f74ed3ee66606780da2cf8d1
date-released: '2026-05-20'
contact:
- family-names: Berlinski
  given-names: Josh
  email: jdberlinski@gmail.com