Adaptive Graph Regularized Concept Factorization With Label Discrimination for Data Clustering
The semi-supervised non-negative matrix factorization (NMF) methods have demonstrated their powerful capabilities in fields such as data representation, image clustering, and recommendation systems. However, the semi-supervised NMF methods still have various shortcomings and there is still room for...
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10750178/ |
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