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.
Version: 1.1 Depends: magick Suggests: knitr, rmarkdown Published: 2020-11-29 DOI: 10.32614/CRAN.package.LearnClust Author: Roberto Alcantara [aut, cre], Juan Jose Cuadrado [aut], Universidad de Alcala de Henares [aut] Maintainer: Roberto Alcantara <roberto.alcantara at edu.uah.es> License: Unlimited NeedsCompilation: no CRAN checks: LearnClust results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=LearnClust to link to this page.
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