clustlearn: Learn Clustering Techniques Through Examples and Code

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>.

Getting started

Package details

AuthorEduardo Ruiz Sabajanes [aut, cre], Juan Jose Cuadrado Gallego [ctb] (<https://orcid.org/0000-0001-8178-5556>), Universidad de Alcala [cph]
MaintainerEduardo Ruiz Sabajanes <eduardo.ruizs@edu.uah.es>
LicenseMIT + file LICENSE
Version1.0.0
URL https://github.com/Ediu3095/clustlearn
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("clustlearn")

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clustlearn documentation built on Sept. 15, 2023, 1:08 a.m.