briKmeans: Package for Brik and Fabrik Algorithms to Initialise Kmeans
Implementation of the BRIk and FABRIk 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 (2020)
<doi:10.1007/s00357-020-09372-3>.
| Version: |
0.1 |
| Depends: |
R (≥ 3.1.0), boot, cluster, depthTools |
| Published: |
2021-02-15 |
| Author: |
Javier Albert Smet and
Aurora Torrente. |
| Maintainer: |
Aurora Torrente <etorrent at est-econ.uc3m.es> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
briKmeans results |
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