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  "Title": "Nonnegative Matrix Factorization",
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  "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 <mtsagris@uoc.gr>",
  "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<doi:10.1109/TKDE.2012.51> 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 <doi:10.1137/07069239X>.",
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  "Author": "Michail Tsagris [aut, cre], Nikolaos Kontemeniotis [aut],\nChristos Adam [aut] (ORCID:\n<https://orcid.org/0009-0003-3244-7034>)",
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