clusterability: Performs Tests for Cluster Tendency of a Data Set

Test for cluster tendency (clusterability) of a data set. The methods implemented - reducing the data set to a single dimension using principal component analysis or computing pairwise distances, and performing a multimodality test like the Dip Test or Silverman's Critical Bandwidth Test - are described in Adolfsson, Ackerman, and Brownstein (2019) <doi:10.1016/j.patcog.2018.10.026>. Such methods can inform whether clustering algorithms are appropriate for a data set.

Version: 0.1.0.0
Depends: R (≥ 3.4.0)
Imports: diptest, splines
Suggests: testthat
Published: 2019-12-15
Author: Zachariah Neville [aut, cre], Naomi Brownstein [aut]
Maintainer: Zachariah Neville <z.neville at stat.fsu.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: clusterability results

Downloads:

Reference manual: clusterability.pdf
Package source: clusterability_0.1.0.0.tar.gz
Windows binaries: r-devel: clusterability_0.1.0.0.zip, r-devel-gcc8: clusterability_0.1.0.0.zip, r-release: clusterability_0.1.0.0.zip, r-oldrel: clusterability_0.1.0.0.zip
OS X binaries: r-release: clusterability_0.1.0.0.tgz, r-oldrel: clusterability_0.1.0.0.tgz

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