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: | 0.2.1.0 | 
| Depends: | R (≥ 3.4.0) | 
| Imports: | diptest, splines, sparsepca, elasticnet | 
| Suggests: | testthat | 
| Published: | 2025-09-29 | 
| DOI: | 10.32614/CRAN.package.clusterability | 
| Author: | Zachariah Neville [aut, cre], Naomi Brownstein [aut], Maya Ackerman [aut], Andreas Adolfsson [aut] | 
| Maintainer: | Zachariah Neville <zachariahneville at outlook.com> | 
| License: | GPL-2 | 
| NeedsCompilation: | no | 
| Materials: | README, NEWS | 
| CRAN checks: | clusterability results | 
| Reference manual: | clusterability.html , clusterability.pdf | 
| Package source: | clusterability_0.2.1.0.tar.gz | 
| Windows binaries: | r-devel: clusterability_0.2.1.0.zip, r-release: clusterability_0.2.1.0.zip, r-oldrel: clusterability_0.2.1.0.zip | 
| macOS binaries: | r-release (arm64): clusterability_0.2.1.0.tgz, r-oldrel (arm64): clusterability_0.2.1.0.tgz, r-release (x86_64): clusterability_0.2.1.0.tgz, r-oldrel (x86_64): clusterability_0.2.1.0.tgz | 
| Old sources: | clusterability archive | 
| Reverse suggests: | FCPS | 
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