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) . Such methods can inform whether clustering algorithms are appropriate for a data set.


Reference manual

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install.packages("clusterability") by Zachariah Neville, 8 months ago

Browse source code at

Authors: Zachariah Neville [aut, cre] , Naomi Brownstein [aut] , Maya Ackerman [aut] , Andreas Adolfsson [aut]

Documentation:   PDF Manual  

GPL-2 license

Imports diptest, splines

Suggests testthat

Suggested by FCPS.

See at CRAN