Randomized nonnegative matrix factorization

•A novel randomized hierarchical alternating least squares algorithm for NMF.•The randomized algorithm scales up to big data.•The algorithm outperforms previous compressed NMF algorithms in speed and accuracy.•Both synthetic and real-world data are used for evaluation.•A Python implementation is pro...

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Bibliographic Details
Published in:	Pattern recognition letters Vol. 104; pp. 1 - 7
Main Authors:	Erichson, N. Benjamin, Mendible, Ariana, Wihlborn, Sophie, Kutz, J. Nathan
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.03.2018 Elsevier Science Ltd
Subjects:	Algorithms Big Data Data management Data mining Data processing Decomposition Dimension reduction Factorization Matrix NMF Numerical analysis Probability Randomization Randomized algorithm Randomized algorithms Randomized algorithm Dimension reduction NMF
ISSN:	0167-8655, 1872-7344
Online Access:	Get full text
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