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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "clustlearn" in publications use:'
type: software
license: MIT
title: 'clustlearn: Learn Clustering Techniques Through Examples and Code'
version: 1.0.0
doi: 10.32614/CRAN.package.clustlearn
abstract: Clustering methods, which (if asked) can provide step-by-step explanations
  of the algorithms used, as described in Ezugwu et. al., (2022) <https://doi.org/10.1016/j.engappai.2022.104743>;
  and datasets to test them on, which highlight the strengths and weaknesses of each
  technique, as presented in the clustering section of 'scikit-learn' (Pedregosa et
  al., 2011) <https://jmlr.csail.mit.edu/papers/v12/pedregosa11a.html>.
authors:
- family-names: Ruiz Sabajanes
  given-names: Eduardo
  email: eduardo.ruizs@edu.uah.es
repository: https://ersabajanes.r-universe.dev
repository-code: https://github.com/Ediu3095/clustlearn
commit: ff48cda95bd68735b4373398de3a8d41553d55ad
url: https://github.com/Ediu3095/clustlearn
date-released: '2023-09-14'
contact:
- family-names: Ruiz Sabajanes
  given-names: Eduardo
  email: eduardo.ruizs@edu.uah.es