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.
| ISBN: | 9783662483305 |
| Publication date: | 5th October 2015 |
| Author: | Ganesh R Naik |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Hardback |
| Pagination: | 194 pages |
| Series: | Signals and Communication Technology |
| Genres: |
Electronics engineering Numerical analysis Biomedical engineering Artificial intelligence Digital signal processing (DSP) Image processing |
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.
Non-Negative Matrix Factorization Techniques features in the following genres: Electronics engineering, Numerical analysis, Biomedical engineering, Artificial intelligence, Digital signal processing (DSP), Image processing
Non-Negative Matrix Factorization Techniques is available in Hardback
Non-Negative Matrix Factorization Techniques was written by Ganesh R Naik and published by Springer an imprint of Springer Berlin Heidelberg
Non-Negative Matrix Factorization Techniques has 194 pages
Yes it is part of Signals and Communication Technology series