{ "_id": "6abb8dc899f7aa8c6aa45f0e", "Package": "Umatrix", "Type": "Package", "Title": "Visualization of Structures in High-Dimensional Data", "Version": "4.0.2", "Date": "2025-05-28", "Authors@R": "c(person(given = \"Florian\", family = \"Lerch\", role = \"aut\"),\nperson(given = \"Michael\", family = \"Thrun\", role = \"aut\"),\nperson(given = \"Felix\", family = \"Pape\", role = \"ctb\"),\nperson(given = \"Jorn\", family = \"Lotsch\", role = c(\"aut\", \"cre\"), email = \"j.lotsch@em.uni-frankfurt.de\"),\nperson(given = \"Raphael\", family = \"Paebst\", role = \"ctb\"),\nperson(given = \"Alfred\", family = \"Ultsch\", role = \"aut\"))", "Description": "By gaining the property of emergence through\nself-organization, the enhancement of SOMs(self organizing\nmaps) is called Emergent SOM (ESOM). The result of the\nprojection by ESOM is a grid of neurons which can be visualised\nas a three dimensional landscape in form of the Umatrix.\nFurther details can be found in the referenced publications\n(see url). This package offers tools for calculating and\nvisualising the ESOM as well as Umatrix, Pmatrix and\nUStarMatrix. All the functionality is also available through\ngraphical user interfaces implemented in 'shiny'. Based on the\nrecognized data structures, the method can be used to generate\nnew data.", "License": "GPL-3", "URL": "http://wscg.zcu.cz/wscg2016/short/A43-full.pdf", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-09-29 10:01:14 UTC", "User": "root" }, "Author": "Florian Lerch [aut], Michael Thrun [aut], Felix Pape [ctb],\nJorn Lotsch [aut, cre], Raphael Paebst [ctb], Alfred Ultsch\n[aut]", "Maintainer": "Jorn Lotsch ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2025-05-28 12:40:02 UTC", "RemoteUrl": "https://github.com/cran/Umatrix", "RemoteRef": "HEAD", "RemoteSha": "7e75cb55dabaea0884dcfda3e67a04777d38aa3a", "_user": "cran", "_type": "src", "_file": "Umatrix_4.0.2.tar.gz", "_fileid": "https://r2.ropensci.org/b942b571a1411f7fb7d8d698492c56c61e523cddebed3cf9a95943d147d77685", "_filesize": 194450, "_sha256": "b942b571a1411f7fb7d8d698492c56c61e523cddebed3cf9a95943d147d77685", "_expires": "2027-01-07T10:07:02.000Z", "_created": "2026-09-29T10:01:14.000Z", 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