{ "_id": "6ac0bc9691601a2ad299804a", "Package": "Kmedians", "Type": "Package", "Title": "K-Medians", "Version": "2.2.0", "Authors@R": "c(person(\"Antoine\",\"Godichon-Baggioni\", role = c(\"aut\", \"cre\",\"cph\"),\nemail = \"antoine.godichon_baggioni@upmc.fr\"),\nperson(\"Sobihan\",\"Surendran\", role = \"aut\") )", "Description": "Online, Semi-online, and Offline K-medians algorithms are\ngiven. For both methods, the algorithms can be initialized\nrandomly or with the help of a robust hierarchical clustering.\nThe number of clusters can be selected with the help of a\npenalized criterion. We provide functions to provide robust\nclustering. Function gen_K() enables to generate a sample of\ndata following a contaminated Gaussian mixture. Functions\nKmedians() and Kmeans() consists in a K-median and a K-means\nalgorithms while Kplot() enables to produce graph for both\nmethods. Cardot, H., Cenac, P. and Zitt, P-A. (2013).\n\"Efficient and fast estimation of the geometric median in\nHilbert spaces with an averaged stochastic gradient algorithm\".\nBernoulli, 19, 18-43. . Cardot, H. and\nGodichon-Baggioni, A. (2017). \"Fast Estimation of the Median\nCovariation Matrix with Application to Online Robust Principal\nComponents Analysis\". Test, 26(3), 461-480\n. Godichon-Baggioni, A. and\nSurendran, S. \"A penalized criterion for selecting the number\nof clusters for K-medians\" Vardi, Y. and\nZhang, C.-H. (2000). \"The multivariate L1-median and associated\ndata depth\". Proc. Natl. Acad. Sci. USA, 97(4):1423-1426.\n.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "RoxygenNote": "7.1.2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-03 08:23:38 UTC", "User": "root" }, "Author": "Antoine Godichon-Baggioni [aut, cre, cph], Sobihan Surendran\n[aut]", "Maintainer": "Antoine Godichon-Baggioni\n", "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", "_user": "godichon-baggioni", "_type": "src", "_file": "Kmedians_2.2.0.tar.gz", "_fileid": "https://r2.ropensci.org/d3932f9ff525020bae522592c90b4743f744c591f94f8f13e86cb3a594af6919", "_filesize": 118290, "_sha256": "d3932f9ff525020bae522592c90b4743f744c591f94f8f13e86cb3a594af6919", "_expires": "2027-01-11T08:28:05.000Z", "_created": "2026-10-03T08:23:38.000Z", "_published": "2026-10-03T08:28:06.716Z", "_jobs": [ 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