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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.
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Package details |
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| Author | Zachariah Neville [aut, cre], Naomi Brownstein [aut], Maya Ackerman [aut], Andreas Adolfsson [aut] |
| Maintainer | Zachariah Neville <z.neville@stat.fsu.edu> |
| License | GPL-2 |
| Version | 0.1.1.0 |
| Package repository | View on CRAN |
| Installation |
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