Variable-Group Methods for Agglomerative Hierarchical Clustering

A collection of methods for agglomerative hierarchical clustering strategies on a matrix of distances, implemented using the variable-group approach introduced in Fernandez and Gomez (2008) . Descriptive measures to analyze the resulting hierarchical trees are also provided. In addition to the usual clustering methods, two parameterized methods are provided to explore an infinite family of hierarchical clustering strategies. When there are ties in proximity values, the hierarchical trees obtained are unique and independent of the order of the elements in the input matrix.


Reference manual

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1.0.1 by Alberto Fernandez, 2 years ago

Browse source code at

Authors: Alberto Fernandez [aut, cre] , Sergio Gomez [aut]

Documentation:   PDF Manual  

LGPL-2.1 license

Imports rJava

System requirements: Java (>= 6)

See at CRAN