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It also features an interactive\ninterface, for push-button training and visualization of SOM on\nnumeric, categorical or mixed data, as well as tools to\nevaluate the quality of SOM.", "License": "GPL (>= 2)", "VignetteBuilder": "knitr", "Encoding": "UTF-8", "RoxygenNote": "7.2.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-06 12:14:28 UTC", "User": "root" }, "Author": "Julien Boelaert [aut, cre], Etienne Ollion [aut], Jan Sodoge\n[aut], Mohamed Megdoud [ctb], Otmane Naji [ctb], Arnaud Lemba\nKote [ctb], Theo Renoud [ctb], Samuel Hym [ctb]", "Maintainer": "Julien Boelaert ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2022-08-30 14:40:02 UTC", "RemoteUrl": "https://github.com/cran/aweSOM", "RemoteRef": "HEAD", "RemoteSha": "1fbd723aba89653ebce1c2dc464a9fb959b62715", "_user": "cran", "_type": "src", "_file": "aweSOM_1.3.tar.gz", "_fileid": "https://r2.ropensci.org/a49c7468ab5a1c4e44f9fc205c240725a3c1d5857d15be0221ceaacf40a1b6d4", "_filesize": 638657, 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