000			01896cam a2200325 a 4500
999			_c4296 _d4296
001			15724904
005			20220905114553.0
008			090505s2009 enka b 001 0 eng
010			_a 2009016049
020			_a9780470746660 (cloth)
020			_a0470746661 (cloth)
035			_a(OCoLC)ocn320432452
040			_aDLC _cDLC _dBTCTA _dYDXCP _dBWKUK _dBWK _dZWZ _dOKU _dDLC
050	0	0	_aQA76.9.A43 _bN65 2009
082	0	0	_a005.1 _222
245	0	0	_aNonnegative matrix and tensor factorizations : _bapplications to exploratory multi-way data analysis and blind source separation / _cAndrzej Cichocki ... [et al.].
260			_aChichester, U.K. : _bJohn Wiley, _c2009.
300			_axxi, 477 p. : _bcol. ill. ; _c25 cm.
504			_aIncludes bibliographical references and index.
505	0		_aProblem statements and models -- Similarity measures and generalized divergences -- Multiplicative iterative algorithms for NMF with sparsity constraints -- Alternating least squares and related algorithms for NMF and SCA problems -- Projected gradient algorithms -- Quasi-Newton algorithms for nonnegative matrix factorization -- Multi-way array (tensor) factorizations and decompositions -- Selected applications.
650		0	_aComputer algorithms.
650		0	_aData mining.
650		0	_aMachine learning.
650		0	_aData structures (Computer science)
700	1		_aCichocki, Andrzej.
856			_3Full-text here _uhttps://box.skoltech.ru/index.php/apps/files/?dir=/e-books%20library/Nonnegative%20matrix%20and%20tensor%20factorizations%3A%20applications%20to%20exploratory%20multi-way%20data%20analysis%20and%20blind%20source%20separation&fileid=8362444#pdfviewer
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBK