LearnClust: Learning Hierarchical Clustering Algorithms

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.

Package details

AuthorRoberto Alcantara [aut, cre], Juan Jose Cuadrado [aut], Universidad de Alcala de Henares [aut]
MaintainerRoberto Alcantara <roberto.alcantara@edu.uah.es>
Package repositoryView on CRAN
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LearnClust documentation built on Nov. 30, 2020, 1:09 a.m.