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.

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Package
mdendro
Version
1.0.1
Date
2018-12-06
Title
Variable-Group Methods for Agglomerative Hierarchical Clustering
Description
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.
Depends
R (>= 3.5.0)
Imports
rJava (>= 0.9.8)
SystemRequirements
Java (>= 6)
License
LGPL-2.1
Encoding
UTF-8
RoxygenNote
6.1.1
NeedsCompilation
no
Packaged
2018-12-06 14:50:17 UTC; Alberto
Author
Alberto Fernandez [aut, cre] (), Sergio Gomez [aut] ()
Maintainer
Alberto Fernandez
Repository
CRAN
Date/Publication
2018-12-06 15:20:08 UTC

install.packages('mdendro')

1.0.1

3 days ago

Alberto Fernandez

LGPL-2.1

Depends on

R (>= 3.5.0)

Imports

rJava (>= 0.9.8)

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