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
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-11-26 22:32:20 UTC; Roberto
Repository: CRAN
Date/Publication: 2020-11-29 22:50:02 UTC
Built: R 4.6.0; ; 2026-04-25 11:36:18 UTC; unix
