Performs Tests for Cluster Tendency of a Data Set R package clusterability version 0.2.3.0 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. Software Depends: R (>= 3.4.0) Imports: diptest, splines, sparsepca, elasticnet, cluster Suggests: testthat, plotly, bench Zachariah Neville <zachariahneville@outlook.com> Comprehensive R Archive Network (CRAN) Zachariah Neville [aut, cre], Naomi Brownstein [aut], Maya Ackerman [aut], Andreas Adolfsson [aut] GPL-2 2026-03-16 application/tgz https://CRAN.R-project.org/package=clusterability doi:10.32614/CRAN.package.clusterability