Non-negative Matrix Factorization Techniques

Advances in Theory and Applications

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Science & Nature, Technology, Electronics
Cover of the book Non-negative Matrix Factorization Techniques by , Springer Berlin Heidelberg
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Author: ISBN: 9783662483312
Publisher: Springer Berlin Heidelberg Publication: September 25, 2015
Imprint: Springer Language: English
Author:
ISBN: 9783662483312
Publisher: Springer Berlin Heidelberg
Publication: September 25, 2015
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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