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: 2022-07-20 23:46:42 UTC; mtl
Repository: CRAN
Date/Publication: 2022-07-21 08:40:10 UTC
Built: R 4.6.0; ; 2026-04-26 00:02:32 UTC; unix
