{ "_id": "6ac8e52bde46216d5edd8df7", "Package": "popsom7", "Version": "7.1.0", "Title": "A Fast, User-Friendly Implementation of Self-Organizing Maps\n(SOMs)", "Authors@R": "c(person(given = \"Lutz\",\nfamily = \"Hamel\",\nrole = c(\"aut\", \"cre\"),\nemail = \"lutzhamel@uri.edu\"),\nperson(given = \"Benjamin\",\nfamily = \"Ott\",\nrole = \"aut\"),\nperson(given = \"Gregory\",\nfamily = \"Breard\",\nrole = \"aut\"),\nperson(given = \"Robert\",\nfamily = \"Tatoian\",\nrole = \"aut\"),\nperson(given = \"Michael\",\nfamily = \"Eiger\",\nrole = \"aut\"),\nperson(given = \"Vishakh\",\nfamily = \"Gopu\",\nrole = \"aut\"))", "Maintainer": "Lutz Hamel ", "Description": "Methods for building self-organizing maps (SOMs) with a\nnumber of distinguishing features such automatic centroid\ndetection and cluster visualization using starbursts. For more\ndetails see the paper \"Improved Interpretability of the Unified\nDistance Matrix with Connected Components\" by Hamel and Brown\n(2011) in . The package provides\nuser-friendly access to two models we construct: (a) a SOM\nmodel and (b) a centroid based clustering model. The package\nalso exposes a number of quality metrics for the quantitative\nevaluation of the map, Hamel (2016)\n. Finally, we reintroduced\nour fast, vectorized training algorithm for SOM with\nsubstantial improvements. It is about an order of magnitude\nfaster than the canonical, stochastic C implementation\n.", "License": "GPL-3", "URL": "https://github.com/lutzhamel/popsom7", "BugReports": "https://github.com/lutzhamel/popsom7/issues", "Config/testthat/edition": "3", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-10-09 12:54:29 UTC", "User": "root" }, "Author": "Lutz Hamel [aut, cre], Benjamin Ott [aut], Gregory Breard\n[aut], Robert Tatoian [aut], Michael Eiger [aut], Vishakh Gopu\n[aut]", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2025-03-02 16:20:02 UTC", "RemoteUrl": "https://github.com/cran/popsom7", "RemoteRef": "HEAD", "RemoteSha": "ff552b1103277ae5fdb8ec2e545e02bc11f9ed0d", "_user": "cran", "_type": "src", "_file": "popsom7_7.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/d5e9084f666ba9588deb58da4bd77a7d302c4651cdfca5235142121825c63006", "_filesize": 124823, "_sha256": "d5e9084f666ba9588deb58da4bd77a7d302c4651cdfca5235142121825c63006", "_expires": 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