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

Documentation:

Reference manual: briKmeans.pdf

Downloads:

Package source: briKmeans_0.1.tar.gz
Windows binaries: r-devel: briKmeans_0.1.zip, r-release: briKmeans_0.1.zip, r-oldrel: briKmeans_0.1.zip
macOS binaries: r-release (arm64): briKmeans_0.1.tgz, r-release (x86_64): briKmeans_0.1.tgz, r-oldrel: briKmeans_0.1.tgz

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