Learn Clustering Techniques Through Examples and Code R package clustlearn version 1.0.0 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>. Software Depends: R (>= 4.3.0) Imports: proxy (>= 0.4-27), cli (>= 3.6.1) Suggests: deldir (>= 1.0-9) Eduardo Ruiz Sabajanes <eduardo.ruizs@edu.uah.es> Comprehensive R Archive Network (CRAN) Eduardo Ruiz Sabajanes [aut, cre], Juan Jose Cuadrado Gallego [ctb] (ORCID: <https://orcid.org/0000-0001-8178-5556>), Universidad de Alcala [cph] MIT + file LICENSE (https://CRAN.R-project.org/package=clustlearn/LICENSE) 2023-09-14 application/tgz https://CRAN.R-project.org/package=clustlearn doi:10.32614/CRAN.package.clustlearn