Adversarial Graph Regularized Deep Nonnegative Matrix Factorization for Data Representation
This work proposes a novel unsupervised deep non-negative matrix factorization (NMF) model called AGDNMF by deep exploration of the structure of the original data. Compared with the existing NMF research results, the model explores the deep association of data and constructs accurate spatial structu...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9857890/ |
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