Boolean Matrix Factorization via Nonnegative Auxiliary Optimization

A novel approach to Boolean matrix factorization (BMF) is presented. Instead of solving the BMF problem directly, this approach solves a nonnegative optimization problem with an additional constraint over an auxiliary matrix whose Boolean structure is identical to the initial Boolean data. This addi...

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Autori principali:	Duc P. Truong, Erik Skau, Derek Desantis, Boian Alexandrov
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2021-01-01
Serie:	IEEE Access
Soggetti:	Boolean matrix factorization nonnegative matrix factorization
Accesso online:	https://ieeexplore.ieee.org/document/9521203/
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