briKmeans
1.0Package for Brik, Fabrik and Fdebrik Algorithms to Initialise Kmeans
Overview
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.
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- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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2 releases. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.0Latest
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.12021-02-15
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-02-15
- Total releases
- 2 / 5 yrs
- License
- GPL (>= 3) OSI
- Download size
- 23 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet