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Deep multi-view clustering algorithm with integrated auto-encoder and non-negative matrix factorization
DOI:10.1016/j.asoc.2025.114552.png)
Abstract
En 中文
• A multi-view clustering algorithm DMCAN based on auto-encoder and NMF is proposed. • DMCAN network is without back propagation. • DMCAN algorithm has good interpretability and can reach convergence quickly. • DMCAN can achieve well clustering results on large-scale multi-view datasets.
Journal
IF:
6.6
Papers:
1.4W
Citations:
4.8W
Organization
Cited Papers
Learning disentangled user representation with multi-view information fusion on social networks
INFORMATION FUSION
IF15.5

