Package: briKmeans
Version: 1.0
Date: 2022-07-20
Title: Package for Brik, Fabrik and Fdebrik Algorithms to Initialise
        Kmeans
Author: Javier Albert Smet <javas@kth.se> and Aurora Torrente
        <etorrent@est-econ.uc3m.es>. Alice Parodi, Mirco Patriarca,
        Laura Sangalli, Piercesare Secchi, Simone Vantini and Valeria
        Vitelli, as contributors.
Maintainer: Aurora Torrente <etorrent@est-econ.uc3m.es>
Depends: R (>= 3.1.0), boot, cluster, depthTools, splines, splines2,
        stats
Imports: methods
Description: 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.
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2026-05-26 09:59:06 UTC; root
Repository: https://aurora-torrente.r-universe.dev
Date/Publication: 2022-07-21 07:40:10 UTC
RemoteUrl: https://github.com/cran/briKmeans
RemoteRef: HEAD
RemoteSha: cff507e4dac28f391c42606301e4c4c1ea9498c2