Nonnegative matrix and tensor factorizations : applications to exploratory multi-way data analysis and blind source separation / Andrzej Cichocki ... [et al.].
Contributor(s): Cichocki, Andrzej.
Publisher: Chichester, U.K. : John Wiley, 2009Description: xxi, 477 p. : col. ill. ; 25 cm.ISBN: 9780470746660 (cloth); 0470746661 (cloth).Subject(s): Computer algorithms | Data mining | Machine learning | Data structures (Computer science)DDC classification: 005.1 Online resources: Full-text here| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| Book | Skoltech library Shelves | QA76.9.A43 N65 2009 (Browse shelf) | Available | 2000007423 |
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| QA76.9.A43 C1 Tensor networks for dimensionality reduction and large-scale optimization | QA76.9.A43 C1 Tensor networks for dimensionality reduction and large-scale optimization | QA76.9.A43 K54 2006 Algorithm design / | QA76.9.A43 N65 2009 Nonnegative matrix and tensor factorizations : | QA76.9.A43 S429 2016 Algorithms / | QA76.9.A43 S55 2008 The algorithm design manual / | QA76.9.B56 L57 2021 Blockchain and distributed ledgers : |
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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