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Clustering methods, which (if asked) can provide step-by-step explanations of the algorithms used, as described in Ezugwu et. al., (2022) <doi: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>.
Package details |
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Author | Eduardo Ruiz Sabajanes [aut, cre], Juan Jose Cuadrado Gallego [ctb] (<https://orcid.org/0000-0001-8178-5556>), Universidad de Alcala [cph] |
Maintainer | Eduardo Ruiz Sabajanes <eduardo.ruizs@edu.uah.es> |
License | MIT + file LICENSE |
Version | 1.0.0 |
URL | https://github.com/Ediu3095/clustlearn |
Package repository | View on CRAN |
Installation |
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