Description
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.
About the Author
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.
Book Information
ISBN 9781611976403
Author Nicolas Gillis
Format Paperback
Page Count 350
Imprint Society for Industrial & Applied Mathematics,U.S.
Publisher Society for Industrial & Applied Mathematics,U.S.
Weight(grams) 770g