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Nonnegative matrix and tensor factorizations : applications to exploratory multi-way data analysis and blind source separation

By: Cichocki, Andrzej.
Contributor(s): Zdunek , Rafal | Phan, Anh Huy | Amari, Shun-ichi.
Material type: materialTypeLabelBookPublisher: United Kingdom: John Wiley, ©2009Description: xxi, 477 p. : col. ill. ; 25 cm.ISBN: 9780470746660.Subject(s): Computer algorithms | Data mining | Machine learning | Data structures (Computer science)
Contents:
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.
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Computer Science and Engineering REF 005.1 CIC-N (Browse shelf) Checked out 26/05/2017 004751
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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.

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