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Nonnegative matrix and tensor factorizations : applications to exploratory multi-way data analysis and blind source separation / Andrzej Cichocki ... [et al.]. - Chichester, England : 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.

ISBN: 9780470746660 (cloth) 0470746661 (cloth)

Subjects--Topical Terms:
Computer algorithms.
Data mining.
Machine learning.
Data structures (Computer science)

LC Class. No.: QA76.9.A43

Dewey Class. No.: 005.1 / N814