{ "_id": "6a156fc1acfb0bcc41d64b7c", "Package": "briKmeans", "Version": "1.0", "Date": "2022-07-20", "Title": "Package for Brik, Fabrik and Fdebrik Algorithms to Initialise\nKmeans", "Author": "Javier Albert Smet and Aurora Torrente\n. Alice Parodi, Mirco Patriarca,\nLaura Sangalli, Piercesare Secchi, Simone Vantini and Valeria\nVitelli, as contributors.", "Maintainer": "Aurora Torrente ", "Description": "Implementation of the BRIk, FABRIk and FDEBRIk algorithms\nto initialise k-means. These methods are intended for the\nclustering of multivariate and functional data, respectively.\nThey make use of the Modified Band Depth and bootstrap to\nidentify appropriate initial seeds for k-means, which are\nproven to be better options than many techniques in the\nliterature. Torrente and Romo (2021)\n It makes use of the functions\nkma and kma.similarity, from the archived package fdakma, by\nAlice Parodi et al.", "License": "GPL (>= 3)", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-26 09:59:06 UTC", "User": "root" }, "Repository": "https://aurora-torrente.r-universe.dev", "Date/Publication": "2022-07-21 07:40:10 UTC", "RemoteUrl": "https://github.com/cran/briKmeans", "RemoteRef": "HEAD", "RemoteSha": "cff507e4dac28f391c42606301e4c4c1ea9498c2", "MD5sum": "95d030aa699fc302329464b4bb4e8778", "_user": "aurora-torrente", "_type": "src", "_file": "briKmeans_1.0.tar.gz", "_fileid": "a5fe53e355c2b4355d44f64b8481233a58655ba7643731876e743abd599dbc17", "_filesize": 210342, "_sha256": "a5fe53e355c2b4355d44f64b8481233a58655ba7643731876e743abd599dbc17", "_created": "2026-05-26T09:59:06.000Z", "_published": "2026-05-26T10:02:41.062Z", "_distro": "noble", "_jobs": [ { "job": 77850862282, "time": 181, "config": "linux-devel-x86_64", "r": "4.7.0", "check": 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