Non-negative matrix factorization techniques: Advances in theory and applications

Ganesh R. Naik

doi:10.1007/978-3-662-48331-2

Non-negative matrix factorization techniques: Advances in theory and applications

Ganesh R. Naik (Editor)

Research output: Book/Report › Book

4 Citations (Scopus)

Abstract

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.

Original language	English
Place of Publication	Heidelberg
Publisher	Springer Berlin Heidelberg
Number of pages	194
ISBN (Electronic)	9783662483312
ISBN (Print)	9783662483305
DOIs	https://doi.org/10.1007/978-3-662-48331-2
Publication status	Published - 2016
Externally published	Yes

Publication series

Name	Signals and Communication Technology
ISSN (Print)	1860-4862
ISSN (Electronic)	1860-4870

Keywords

Blind Source Separation
Multi-layer NMF
Non-negative Matrix Factorisation (NMF)
Pattern Recognition

Access to Document

10.1007/978-3-662-48331-2Licence: In Copyright

Link to publication in Scopus

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Cite this

Naik, G. R. (Ed.) (2016). Non-negative matrix factorization techniques: Advances in theory and applications. (Signals and Communication Technology). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-48331-2

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