Binary Orthogonal Non-negative Matrix Factorization

10/19/2022

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by   S. Fathi Hafshejani, et al.

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We propose a method for computing binary orthogonal non-negative matrix factorization (BONMF) for clustering and classification. The method is tested on several representative real-world data sets. The numerical results confirm that the method has improved accuracy compared to the related techniques. The proposed method is fast for training and classification and space efficient.