TY - BOOK
T1 - Non-negative matrix factorization techniques
T2 - Advances in theory and applications
A2 - Naik, Ganesh R.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - Blind Source Separation
KW - Multi-layer NMF
KW - Non-negative Matrix Factorisation (NMF)
KW - Pattern Recognition
UR - http://www.scopus.com/inward/record.url?scp=84956687451&partnerID=8YFLogxK
U2 - 10.1007/978-3-662-48331-2
DO - 10.1007/978-3-662-48331-2
M3 - Book
AN - SCOPUS:84956687451
SN - 9783662483305
T3 - Signals and Communication Technology
BT - Non-negative matrix factorization techniques
PB - Springer
CY - Heidelberg
ER -