{ "_id": "6a0f6f92acfb0bcc41c5f1d2", "Package": "rBMF", "Type": "Package", "Title": "Boolean Matrix Factorization", "Version": "1.1", "Date": "2021-1-13", "Author": "Abdelmoneim Amer Desouki", "Maintainer": "Abdelmoneim Amer Desouki ", "Description": "Provides four boolean matrix factorization (BMF) methods.\nBMF has many applications like data mining and categorical data\nanalysis. BMF is also known as boolean matrix decomposition\n(BMD) and was found to be an NP-hard (non-deterministic\npolynomial-time) problem. Currently implemented methods are\n'Asso' Miettinen, Pauli and others (2008)\n, 'GreConD' R. Belohlavek, V.\nVychodil (2010) ,\n'GreConDPlus' R. Belohlavek, V. Vychodil (2010)\n , 'topFiberM' A. Desouki, M.\nRoeder, A. 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"matrix", "array" ], "fields": {}, "rows": 6980, "table": true, "tojson": true } ], "_help": [ { "page": "rBMF-package", "title": "Boolean Matrix Factorization", "topics": [ "rBMF-package", "rBMF" ] }, { "page": "Asso_approximate", "title": "Asso: Boolean Matrix Factorization", "concept": [ "Boolean Matrix Factorization" ], "topics": [ "Asso_approximate" ] }, { "page": "Chess", "title": "Chess dataset", "topics": [ "Chess" ] }, { "page": "DBLP", "title": "DBLP dataset", "topics": [ "DBLP" ] }, { "page": "GreConD", "title": "GreConD Boolean matrix factorization", "concept": [ "Boolean Matrix Factorization" ], "topics": [ "GreConD" ] }, { "page": "GreConDPlus", "title": "GreConDPlus Boolean Matrix Factorization", "concept": [ "Boolean Matrix Factorization" ], "topics": [ "GreConDPlus" ] }, { "page": "topFiberM", "title": "topFiberM", "concept": [ "Boolean Matrix Factorization" ], "topics": [ "topFiberM" ] } ], "_rundeps": [ "lattice", "Matrix", "Rcpp" ], "_score": 1, "_indexed": true, 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