The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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.
| Version: | 1.0 |
| Depends: | R (≥ 3.1.0), boot, cluster, depthTools, splines, splines2, stats |
| Imports: | methods |
| Published: | 2022-07-21 |
| DOI: | 10.32614/CRAN.package.briKmeans |
| Author: | Javier Albert Smet and Aurora Torrente. Alice Parodi, Mirco Patriarca, Laura Sangalli, Piercesare Secchi, Simone Vantini and Valeria Vitelli, as contributors. |
| Maintainer: | Aurora Torrente <etorrent at est-econ.uc3m.es> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | briKmeans results |
| Reference manual: | briKmeans.pdf |
| Package source: | briKmeans_1.0.tar.gz |
| Windows binaries: | r-devel: briKmeans_1.0.zip, r-release: briKmeans_1.0.zip, r-oldrel: briKmeans_1.0.zip |
| macOS binaries: | r-release (arm64): briKmeans_1.0.tgz, r-oldrel (arm64): briKmeans_1.0.tgz, r-release (x86_64): briKmeans_1.0.tgz, r-oldrel (x86_64): briKmeans_1.0.tgz |
| Old sources: | briKmeans archive |
Please use the canonical form https://CRAN.R-project.org/package=briKmeans to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.