dclust: Divisive Hierarchical Clustering

Contains a single function dclust() for divisive hierarchical clustering based on recursive k-means partitioning (k = 2). Useful for clustering large datasets where computation of a n x n distance matrix is not feasible (e.g. n > 10,000 records). For further information see Steinbach, Karypis and Kumar (2000) <http://glaros.dtc.umn.edu/gkhome/fetch/papers/docclusterKDDTMW00.pdf>.

Version: 0.1.0
Imports: openssl, phylogram
Published: 2019-09-05
Author: Shaun Wilkinson ORCID iD [aut, cre], Paolo Giordani [aut]
Maintainer: Shaun Wilkinson <shaunpwilkinson at gmail.com>
BugReports: http://github.com/shaunpwilkinson/dclust/issues
License: GPL-3
URL: http://github.com/shaunpwilkinson/dclust
NeedsCompilation: no
CRAN checks: dclust results

Downloads:

Reference manual: dclust.pdf
Package source: dclust_0.1.0.tar.gz
Windows binaries: r-devel: dclust_0.1.0.zip, r-release: dclust_0.1.0.zip, r-oldrel: dclust_0.1.0.zip
OS X binaries: r-release: dclust_0.1.0.tgz, r-oldrel: dclust_0.1.0.tgz

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