A high-performance parallel algorithm for nonnegative matrix factorization
Published in ACM SIGPLAN Notices • Feb 27, 2016
Authors:,,
Ramakrishnan Kannan
Grey Ballard
Haesun Park
Abstract
Non-negative matrix factorization (NMF) is the problem of determining two non-negative low rank factors W and H , for the given input matrix A , such that A ≈ WH . NMF is a useful tool for many applications in different domains such as topic modeling in text mining, background separation in video an...
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