Package: Kmedians
Type: Package
Title: K-Medians
Version: 2.2.0
Authors@R: c(person("Antoine","Godichon-Baggioni", role = c("aut", "cre","cph"),
                      email = "antoine.godichon_baggioni@upmc.fr"),
               person("Sobihan","Surendran", role = "aut") )
Description: 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" <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>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: foreach, doParallel,parallel, genieclust, Gmedian,mvtnorm,
        capushe, ggplot2, reshape2
RoxygenNote: 7.1.2
NeedsCompilation: no
Packaged: 2026-10-03 08:23:38 UTC; root
Author: Antoine Godichon-Baggioni [aut, cre, cph], Sobihan Surendran
        [aut]
Maintainer: Antoine Godichon-Baggioni
 <antoine.godichon_baggioni@upmc.fr>
Config/pak/sysreqs: libicu-dev
Repository: https://godichon-baggioni.r-universe.dev
Date/Publication: 2023-12-19 02:38:04 UTC
RemoteUrl: https://github.com/cran/Kmedians
RemoteRef: HEAD
RemoteSha: 6607c4308aaaf5961e2667f85ba70180dfba3148