CRAN/E | LearnClust

LearnClust

Learning Hierarchical Clustering Algorithms

Installation

About

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.

Key Metrics

Version 1.1
Published 2020-11-29 1255 days ago
Needs compilation? no
License Unlimited
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Maintainer

Maintainer

Roberto Alcantara

roberto.alcantara@edu.uah.es

Authors

Roberto Alcantara

aut / cre

Juan Jose Cuadrado

aut

Universidad de Alcala de Henares

aut

Material

Reference manual
Package source

Vignettes

Learning Clusterization

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

LearnClust archive

Depends

magick

Suggests

knitr
rmarkdown