Semi-supervised nonnegative matrix factorization with positive and negative label propagations.
Changpeng WangJiangshe ZhangTianjun WuMeng ZhangGuang ShiPublished in: Appl. Intell. (2022)
Keyphrases
- positive and negative
- nonnegative matrix factorization
- semi supervised
- semi supervised clustering
- manifold regularization
- data representation
- negative matrix factorization
- semi supervised learning
- matrix factorization
- pairwise
- positive or negative
- training instances
- labeled data
- decision rules
- unlabeled data
- class labels
- active learning
- unsupervised learning
- spectral clustering
- least squares
- low rank
- supervised learning
- multi label
- document clustering
- neural network
- positive examples
- principal component analysis
- pattern recognition
- signal processing
- objective function
- keywords
- feature extraction