Nonnegative matrix and tensor factorizations : applications to exploratory multi-way data analysis and blind source separation /
Andrzej Cichocki ... [et al.].
- Chichester, U.K. : John Wiley, 2009.
- xxi, 477 p. : col. ill. ; 25 cm.
Includes bibliographical references and index.
Problem 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.
9780470746660 (cloth) 0470746661 (cloth)
2009016049
Computer algorithms.
Data mining.
Machine learning.
Data structures (Computer science)
QA76.9.A43 / N65 2009
005.1
Includes bibliographical references and index.
Problem 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.
9780470746660 (cloth) 0470746661 (cloth)
2009016049
Computer algorithms.
Data mining.
Machine learning.
Data structures (Computer science)
QA76.9.A43 / N65 2009
005.1