arXiv · 2210.10660
Binary Orthogonal Non-negative Matrix Factorization
Abstract
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.
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S. Fathi Hafshejani, D. Gaur, S. Hossain, R. Benkoczi. 2022-10-19. Binary Orthogonal Non-negative Matrix Factorization. https://arxiv.org/abs/2210.10660
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