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.


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install.packages("LearnClust")

1.0 by Roberto Alcantara, 19 days ago


Browse source code at https://github.com/cran/LearnClust


Authors: Roberto Alcantara [aut, cre] , Juan Jose Cuadrado [aut] , Universidad de Alcala de Henares [aut]


Documentation:   PDF Manual  


Unlimited license


Depends on magick

Suggests knitr, rmarkdown


See at CRAN