Nonnegative Matrix Factorization (Data Science) - Softcover

Gillis, Nicolas

 
9781611976403: Nonnegative Matrix Factorization (Data Science)
Softcover
ISBN 10: 1611976405 ISBN 13: 9781611976403
Verlag: Society for Industrial & Applied Mathematics,U.S., 2021

Inhaltsangabe

Nonnegative matrix factorization (NMF) in its modern form has become a standard tool in the analysis of high-dimensional data sets. This book provides a comprehensive and up-to-date account of the most important aspects of the NMF problem and is the first to detail its theoretical aspects, including geometric interpretation, nonnegative rank, complexity, and uniqueness. It explains why understanding these theoretical insights is key to using this computational tool effectively and meaningfully.

Nonnegative Matrix Factorization is accessible to a wide audience and is ideal for anyone interested in the workings of NMF. It discusses some new results on the nonnegative rank and the identifiability of NMF and makes available MATLAB codes for readers to run the numerical examples presented in the book.

Graduate students starting to work on NMF and researchers interested in better understanding the NMF problem and how they can use it will find this book useful. It can be used in advanced undergraduate and graduate-level courses on numerical linear algebra and on advanced topics in numerical linear algebra and requires only a basic knowledge of linear algebra and optimization.

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Über die Autorin bzw. den Autor

Nicolas Gillis is an associate professor in the department of Mathematics and Operational Research at the University of Mons in Belgium. He is a recipient of the Householder Award and an ERC Starting Grant. His research interests include optimization, numerical linear algebra, machine learning, signal processing, and data mining. A member of SIAM and IEEE, he serves as an associate editor of SIAM Journal on Matrix Analysis and Applications and IEEE Transactions on Signal Processing.

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Verlag
Society for Industrial & Applied Mathematics,U.S.
Erscheinungsdatum
2021
Sprache
Englisch
ISBN 10 
1611976405
ISBN 13 
9781611976403
Einband
Tapa blanda
Anzahl der Seiten
350
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Nicht verfügbar