https://ersabajanes.r-universe.devRecent package updates in ersabajanesR-universehttps://github.com/ersabajanes.pnghttps://ersabajanes.r-universe.devThu, 14 Sep 2023 09:28:00 GMTeduardo.ruizs@edu.uah.es (Eduardo Ruiz Sabajanes)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>.https://github.com/r-universe/ersabajanes/actions/runs/37190257892Thu, 14 Sep 2023 09:28:00 GMTclustlearn1.0.0successhttps://ersabajanes.r-universe.devhttps://github.com/ersabajanes/clustlearn