mdendro: 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) <doi:10.1007/s00357-008-9004-x>. 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.

Getting started

Package details

AuthorAlberto Fernandez [aut, cre] (<https://orcid.org/0000-0002-1241-1646>), Sergio Gomez [aut] (<https://orcid.org/0000-0003-1820-0062>)
MaintainerAlberto Fernandez <[email protected]>
LicenseLGPL-2.1
Version1.0.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mdendro")

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mdendro documentation built on May 2, 2019, 5:41 a.m.