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DISCO is the first index to explicitly assess the\nquality of noise point assignments in addition to cluster\nquality. It uses density-connectivity distance derived from a\nminimum spanning tree of the mutual-reachability graph,\nproviding interpretable, bounded scores in [-1, 1]. Higher\nscores indicate better clustering. Based on Beer et al. (2025)\n.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Language": "en-GB", "RoxygenNote": "7.3.3", "URL": "https://github.com/aminentezari/discoCVI", "BugReports": "https://github.com/aminentezari/discoCVI/issues", "Repository": "https://aminentezari.r-universe.dev", "Date/Publication": "2026-05-02 08:57:34 UTC", "RemoteUrl": "https://github.com/aminentezari/discocvi", "RemoteRef": "HEAD", "RemoteSha": "15fbcba17e88c01a182ec14fe00535cebabf9b49", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-05 08:58:47 UTC", "User": "root" }, "Author": "Amin Entezari [aut, cre] (ORCID:\n),\nDavide Chicco [ctb] (ORCID: ,\nSupervision and guidance),\nAnna Beer [aut] (Original Python implementation (arXiv:2503.00127)),\nLena Krieger [aut] (Original Python implementation (arXiv:2503.00127)),\nPascal Weber [aut] (Original Python implementation (arXiv:2503.00127))", "Maintainer": "Amin Entezari ", "MD5sum": "26c432524a83960d89533da59b348bdd", "_user": "aminentezari", "_type": "src", 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