K-groups implements energy clustering for a specified number of classes by energy distance criterion.
Announcement: The kgroups package has been merged into the energy package. This standalone kgroups package is archived and no longer updated.
This package replaces the pre-release version of 2017-11-17 kgroups 0.1.3 at https://github.com/mariarizzo/kgroups, which remains available in a branch. Version 0.2.0 is not an update but a new version. It is entirely rewritten and at least 100 times faster than 0.1.3. Version 0.2.1 is a major rewrite, with all but top level function re-implemented in Rcpp.
References:
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Songzi Li and Maria L. Rizzo (2017). "K-groups: A Generalization of K-means Clustering," ArXiv e-prints, 1711.04359. https://arxiv.org/abs/1711.04359
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Li, Songzi (2015). "k-groups: A Generalization of k-means by Energy Distance," Ph.D. thesis, Bowling Green State University.
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M. L. Rizzo and G. J. Szekely (2010). "DISCO Analysis: A Nonparametric Extension of Analysis of Variance," Annals of Applied Statistics, Vol. 4, No. 2, 1034-1055. http://dx.doi.org/10.1214/09-AOAS245