briKmeans: Package for Brik, Fabrik and Fdebrik Algorithms to Initialise Kmeans (original) (raw)
Implementation of the BRIk, FABRIk and FDEBRIk algorithms to initialise k-means. These methods are intended for the clustering of multivariate and functional data, respectively. They make use of the Modified Band Depth and bootstrap to identify appropriate initial seeds for k-means, which are proven to be better options than many techniques in the literature. Torrente and Romo (2021) <doi:10.1007/s00357-020-09372-3> It makes use of the functions kma and kma.similarity, from the archived package fdakma, by Alice Parodi et al.
| Version: | 1.0 |
|---|---|
| Depends: | R (≥ 3.1.0), boot, cluster, depthTools, splines, splines2, stats |
| Imports: | methods |
| Published: | 2022-07-21 |
| DOI: | 10.32614/CRAN.package.briKmeans |
| Author: | Javier Albert Smet and Aurora Torrente. Alice Parodi, Mirco Patriarca, Laura Sangalli, Piercesare Secchi, Simone Vantini and Valeria Vitelli, as contributors. |
| Maintainer: | Aurora Torrente |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | briKmeans results |
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