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Non-negative Matrix Factorization Techniques - Advances in Theory and Applications (Paperback, Softcover reprint of the original 1st ed. 2016) Loot Price: R2,133
Discovery Miles 21 330
Non-negative Matrix Factorization Techniques - Advances in Theory and Applications (Paperback, Softcover reprint of the...

Non-negative Matrix Factorization Techniques - Advances in Theory and Applications (Paperback, Softcover reprint of the original 1st ed. 2016)

Ganesh R Naik

Series: Signals and Communication Technology

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Loot Price R2,133 Discovery Miles 21 330 | Repayment Terms: R200 pm x 12*

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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: August 2016
First published: 2016
Editors: Ganesh R Naik
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 194
Edition: Softcover reprint of the original 1st ed. 2016
ISBN-13: 978-3-662-51700-0
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Medicine > Nursing & ancillary services > Biomedical engineering > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN: 3-662-51700-0
Barcode: 9783662517000

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