{ "_id": "6a493ae7a19c9318096e6d70", "Package": "nnmf", "Type": "Package", "Title": "Nonnegative Matrix Factorization", "Version": "1.4", "Date": "2026-04-12", "Authors@R": "c( person(\"Michail\", \"Tsagris\", role = c(\"aut\", \"cre\"), email = \"mtsagris@uoc.gr\"), \nperson(\"Nikolaos\", \"Kontemeniotis\", role = \"aut\", email = \"kontemeniotisn@gmail.com\" ),\nperson(\"Christos\", \"Adam\", role = \"aut\", email = \"pada4m4@gmail.com\", comment = c(ORCID = \"0009-0003-3244-7034\") ))", "Maintainer": "Michail Tsagris ", "Description": "Nonnegative matrix factorization (NMF) is a technique to\nfactorize a matrix with nonnegative values into the product of\ntwo matrices. Covariates are also allowed. Parallel computing\nis an option to enhance the speed and high-dimensional and\nlarge scale (and/or sparse) data are allowed. Relevant papers\ninclude: Wang Y. X. and Zhang Y. J. (2012). Nonnegative matrix\nfactorization: A comprehensive review. IEEE Transactions on\nKnowledge and Data Engineering, 25(6): 1336-1353\n and Kim H. and Park H. (2008).\nNonnegative matrix factorization based on alternating\nnonnegativity constrained least squares and active set method.\nSIAM Journal on Matrix Analysis and Applications, 30(2):\n713-730 .", "License": "GPL (>= 2)", "Encoding": "UTF-8", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-07-04 16:49:45 UTC", "User": "root" }, "Author": "Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut],\nChristos Adam [aut] (ORCID:\n)", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-04-13 03:55:44 UTC", "RemoteUrl": "https://github.com/cran/nnmf", "RemoteRef": "HEAD", "RemoteSha": "e8b8c489531e4da9c9adf61c0166f23a3844e6f3", "_user": "cran", "_type": "src", "_file": "nnmf_1.4.tar.gz", "_fileid": "https://r2.ropensci.org/c02a5974fc388f2e1fd3ab9b31a49a1d0566a4fc2afdd8d424fe07ce492a7433", "_filesize": 169589, "_sha256": "c02a5974fc388f2e1fd3ab9b31a49a1d0566a4fc2afdd8d424fe07ce492a7433", "_expires": "2026-10-12T16:55:00.000Z", "_created": "2026-07-04T16:49:45.000Z", 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