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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 "fussclust" in publications use:'
type: software
license: MIT
title: 'fussclust: Fuzzy Unsupervised and Semi-Supervised Clustering'
version: 0.1.0
abstract: Methods for distance-based fuzzy unsupervised and semi-supervised clustering,
  including fuzzy and possibilistic models based on alternating optimization (AO)
  algorithm. The package introduces a vectorized estimation framework for prototype-based
  fuzzy clustering algorithms, enabling modular algorithm design and extensibility.
  It also supports storage and retrieval of intermediate AO optimization results for
  downstream analysis and processing. For more details see Kmita et al. (2024) <https://doi.org/10.1109/TFUZZ.2024.3370768>.
authors:
- family-names: Kmita
  given-names: Kamil
  email: kamil.kmita17@gmail.com
  orcid: https://orcid.org/0000-0001-8829-2420
repository: https://cran.r-universe.dev
commit: e013be6b78526958325d88ea3029d3abf4fb5ffd
date-released: '2026-06-02'
contact:
- family-names: Kmita
  given-names: Kamil
  email: kamil.kmita17@gmail.com
  orcid: https://orcid.org/0000-0001-8829-2420