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Non-negative Matrix Factorization Techniques - Advances in Theory and Applications (Hardcover, 1st ed. 2016) Loot Price: R1,649
Discovery Miles 16 490
You Save: R2,208 (57%)
Non-negative Matrix Factorization Techniques - Advances in Theory and Applications (Hardcover, 1st ed. 2016): Ganesh R Naik

Non-negative Matrix Factorization Techniques - Advances in Theory and Applications (Hardcover, 1st ed. 2016)

Ganesh R Naik

Series: Signals and Communication Technology

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List price R3,857 Loot Price R1,649 Discovery Miles 16 490 | Repayment Terms: R155 pm x 12* You Save R2,208 (57%)

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This book collects new results, concepts and further developments of NMF. The open problems discussed include, e.g. in bioinformatics: NMF and its extensions applied to gene expression, sequence analysis, the functional characterization of genes, clustering and text mining etc. The research results previously scattered in different scientific journals and conference proceedings are methodically collected and presented in a unified form. While readers can read the book chapters sequentially, each chapter is also self-contained. This book can be a good reference work for researchers and engineers interested in NMF, and can also be used as a handbook for students and professionals seeking to gain a better understanding of the latest applications of NMF.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Signals and Communication Technology
Release date: October 2015
First published: 2016
Editors: Ganesh R Naik
Dimensions: 235 x 155 x 16mm (L x W x T)
Format: Hardcover
Pages: 194
Edition: 1st ed. 2016
ISBN-13: 978-3-662-48330-5
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Medicine > Nursing & ancillary services > Biomedical engineering > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
LSN: 3-662-48330-0
Barcode: 9783662483305

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