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At the same time,\nGenie retains the high speed of the single linkage approach,\ntherefore it is also suitable for analysing larger data sets.\nFor more details see (Gagolewski et al. 2016\n). For a faster and more\nfeature-rich implementation, see the 'genieclust' package\n(Gagolewski, 2021 ).", "License": "GPL (>= 3)", "BugReports": "https://github.com/gagolews/genie/issues", "URL": "https://genieclust.gagolewski.com/,\nhttps://github.com/gagolews/genie", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-10-29 09:08:05 UTC", "User": "root" }, "Author": "Marek Gagolewski [aut, cre, cph] (ORCID:\n), Maciej Bartoszuk\n[aut] (ORCID: ), Anna\nCena [aut] (ORCID: )", "Maintainer": "Marek Gagolewski ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-03-02 11:30:02 UTC", "RemoteUrl": "https://github.com/cran/genie", "RemoteRef": "HEAD", "RemoteSha": "84ba3bbcc1260e5d126e7af2e5116c91e5a80024", "_user": "cran", "_type": "src", "_file": "genie_1.0.7.tar.gz", "_fileid": "https://r2.ropensci.org/786f43edf77657d4460a4c606e6d8617809c59e80d0e1b43908b1bd10bde15ae", "_filesize": 115196, "_sha256": 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