The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
Online, Semi-online, and Offline K-medians algorithms are given. For both methods, the algorithms can be initialized randomly or with the help of a robust hierarchical clustering. The number of clusters can be selected with the help of a penalized criterion. We provide functions to provide robust clustering. Function gen_K() enables to generate a sample of data following a contaminated Gaussian mixture. Functions Kmedians() and Kmeans() consists in a K-median and a K-means algorithms while Kplot() enables to produce graph for both methods. Cardot, H., Cenac, P. and Zitt, P-A. (2013). "Efficient and fast estimation of the geometric median in Hilbert spaces with an averaged stochastic gradient algorithm". Bernoulli, 19, 18-43. <doi:10.3150/11-BEJ390>. Cardot, H. and Godichon-Baggioni, A. (2017). "Fast Estimation of the Median Covariation Matrix with Application to Online Robust Principal Components Analysis". Test, 26(3), 461-480 <doi:10.1007/s11749-016-0519-x>. Godichon-Baggioni, A. and Surendran, S. "A penalized criterion for selecting the number of clusters for K-medians" <doi:10.48550/arXiv.2209.03597> Vardi, Y. and Zhang, C.-H. (2000). "The multivariate L1-median and associated data depth". Proc. Natl. Acad. Sci. USA, 97(4):1423-1426. <doi:10.1073/pnas.97.4.1423>.
| Version: | 2.2.0 |
| Imports: | foreach, doParallel, parallel, genieclust, Gmedian, mvtnorm, capushe, ggplot2, reshape2 |
| Published: | 2023-12-18 |
| DOI: | 10.32614/CRAN.package.Kmedians |
| Author: | Antoine Godichon-Baggioni [aut, cre, cph], Sobihan Surendran [aut] |
| Maintainer: | Antoine Godichon-Baggioni <antoine.godichon_baggioni at upmc.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | Kmedians results |
| Reference manual: | Kmedians.pdf |
| Package source: | Kmedians_2.2.0.tar.gz |
| Windows binaries: | r-devel: Kmedians_2.2.0.zip, r-release: Kmedians_2.2.0.zip, r-oldrel: Kmedians_2.2.0.zip |
| macOS binaries: | r-release (arm64): Kmedians_2.2.0.tgz, r-oldrel (arm64): Kmedians_2.2.0.tgz, r-release (x86_64): Kmedians_2.2.0.tgz, r-oldrel (x86_64): Kmedians_2.2.0.tgz |
| Old sources: | Kmedians archive |
Please use the canonical form https://CRAN.R-project.org/package=Kmedians 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.
Health stats visible at Monitor.