Package for Brik, Fabrik and Fdebrik Algorithms to Initialise Kmeans R package briKmeans version 1.0 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. Software Depends: R (>= 3.1.0), boot, cluster, depthTools, splines, splines2, stats Imports: methods Aurora Torrente <etorrent@est-econ.uc3m.es> Comprehensive R Archive Network (CRAN) 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. GPL (>= 3) 2022-07-21 application/tgz https://CRAN.R-project.org/package=briKmeans doi:10.32614/CRAN.package.briKmeans