Semi-supervised Multi-view Clustering Based on Non-negative Matrix Factorization and Low-Rank Tensor Representation.
Yao YuBaokai LiuShiqiang DuJinmei SongKaiwu ZhangPublished in: Neural Process. Lett. (2023)
Keyphrases
- multi view
- low rank
- negative matrix factorization
- semi supervised
- matrix factorization
- semi supervised learning
- single view
- nonnegative matrix factorization
- matrix completion
- multiple views
- labeled data
- unlabeled data
- pairwise
- document clustering
- principal component analysis
- unsupervised learning
- manifold learning
- sparse representation
- supervised learning
- missing data
- active learning
- collaborative filtering
- pairwise constraints
- metric learning
- spectral clustering
- recommender systems
- generative model
- probabilistic latent semantic analysis
- factorization method
- subspace learning
- three dimensional