mdendro v1.0.1


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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.

Functions in mdendro

Name Description
dendesc Dendrogram Descriptive Measures
linkage Linkage Methods for Hierarchical Clustering
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Date 2018-12-06
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
Repository CRAN
Date/Publication 2018-12-06 15:20:08 UTC

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