000			a
999			_c31010 _d31010
008			230221b xxu||||| |||| 00| 0 eng d
020			_a9781611976403
082			_a512.9434 _bGIL
100			_aGillis, Nicolas
245			_aNonnegative matrix factorization
260			_bSociety for Industrial and Applied Mathematics, _c2021 _aPhiladelphia :
300			_axxv, 350 p. ; _bill. _c26 cm
365			_b87.00 _cUSD _d85.20
490			_aData science ; 2
504			_aIncludes bibliographical references and index.
520			_aThis book provides a comprehensive and up-to-date account of the NMF problem and its most significant features.
650			_aAlgorithms
650			_aData Science Data Analytics
650			_aComputer algorithms
650			_aData mining
650			_aNon-negative matrices
650			_aBolzano-Weierstress theorem
650			_a Condition number
650			_aContact change point
650			_aDistributional robustness
650			_aFeature extraction
650			_aHierarchical alternating least squares
650			_aIdentifiability
650			_aKarush-Kuhn-Tucker (KKT) conditions
650			_aMATLAB
650			_aMinimum -volumeNMF
650			_aNear-separable factorization
650			_aNested polytope problem
650			_aNonnegative rank
650			_aOrthogonal NMF
650			_a Principal component analysis
650			_aRobust PCA
650			_aThomas matrix
650			_aVerttex component analysis
650			_a High dimensional data sets
942			_2ddc _cBK