Package: clustlearn
Title: Learn Clustering Techniques Through Examples and Code
Version: 1.0.0
Authors@R: c(
        person(
            "Eduardo",
            "Ruiz Sabajanes",
            email = "eduardo.ruizs@edu.uah.es",
            role = c("aut", "cre")
        ),
        person(
            "Juan Jose",
            "Cuadrado Gallego",
            email = "jjcg@uah.es",
            role = c("ctb"),
            comment = c(ORCID = "0000-0001-8178-5556")
        ),
        person(
            "Universidad de Alcala",
            role = c("cph")
        )
    )
Description: 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>.
URL: https://github.com/Ediu3095/clustlearn
BugReports: https://github.com/Ediu3095/clustlearn/issues
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.2.3
Depends: R (>= 4.3.0)
Imports: proxy (>= 0.4-27), cli (>= 3.6.1)
Suggests: deldir (>= 1.0-9)
LazyData: true
NeedsCompilation: no
Packaged: 2023-09-14 09:28:21 UTC; 3arci
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>
Repository: CRAN
Date/Publication: 2023-09-14 19:00:02 UTC
Built: R 4.6.0; ; 2026-04-26 14:50:21 UTC; unix
