Semi-supervised nonnegative matrix factorization with pairwise constraints for image clustering.
Ying ZhangXiangli LiMengxue JiaPublished in: Int. J. Mach. Learn. Cybern. (2022)
Keyphrases
- semi supervised clustering
- pairwise constraints
- nonnegative matrix factorization
- semi supervised
- spectral clustering
- data representation
- pairwise
- document clustering
- image features
- image retrieval
- input image
- semi supervised classification
- unlabeled data
- image representation
- labeled data
- negative matrix factorization
- constrained clustering
- matrix factorization
- unsupervised learning
- unsupervised clustering
- semi supervised learning
- image segmentation
- clustering method
- image classification
- active learning
- least squares
- k means
- clustering algorithm
- supervised learning
- metric learning
- loss function
- instance level constraints
- generative model
- principal component analysis
- objective function
- training data
- similarity measure