clusterability
Performs Tests for Cluster Tendency of a Data Set
v0.2.3.0
·
Mar 16, 2026
·
GPL-2
Description
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> and Laborde et al. (2023) <doi: 10.1186/s12859-023-05210-6>. Such methods can inform whether clustering algorithms are appropriate for a data set.
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| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
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| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |