Package: LearnClust
Type: Package
Date: 2020-11-24
Title: Learning Hierarchical Clustering Algorithms
Version: 1.1
Authors@R: c(
            person("Roberto","Alcantara", role = c("aut","cre"), 
              email = "roberto.alcantara@edu.uah.es"), 
            person("Juan Jose Cuadrado", role = c("aut"),
              email = "jjcg@uah.es"),
            person("Universidad de Alcala de Henares", role = c("aut"))
          )
Author: Roberto Alcantara [aut, cre], Juan Jose Cuadrado [aut],
        Universidad de Alcala de Henares [aut]
Maintainer: Roberto Alcantara <roberto.alcantara@edu.uah.es>
Description: Classical hierarchical clustering algorithms,
        agglomerative and divisive clustering. Algorithms are
        implemented as a theoretical way, step by step. It includes
        some detailed functions that explain each step. Every function
        allows options to get different results using different
        techniques. The package explains non expert users how
        hierarchical clustering algorithms work.
License: Unlimited
Depends: magick
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2026-10-12 23:13:31 UTC; root
Config/pak/sysreqs: libmagick++-dev gsfonts libssl-dev
Repository: https://cranhaven.r-universe.dev
Date/Publication: 2026-10-12 08:02:00 UTC
RemoteUrl: https://github.com/cranhaven/cranhaven.r-universe.dev
RemoteRef: package/LearnClust
RemoteSha: f13c9f5c1f9374b1e6536b8396c565305c6a1db1
RemoteSubdir: LearnClust