Nonnegative Spectral Clustering for Large-Scale Semi-supervised Learning.
Weibo HuChuan ChenFanghua YeZibin ZhengGuohui LingPublished in: DASFAA (3) (2019)
Keyphrases
- spectral clustering
- semi supervised learning
- nonnegative matrix factorization
- label propagation
- semi supervised
- graph laplacian
- pairwise
- unlabeled data
- data clustering
- labeled data
- semi supervised classification
- unsupervised learning
- graph construction
- pairwise constraints
- clustering method
- machine learning
- supervised learning
- co training
- similarity matrix
- manifold structure
- image segmentation
- k means
- active learning
- clustering algorithm
- eigendecomposition
- real world
- normalized cut
- training data
- labeled and unlabeled data
- transfer learning
- objective function
- negative matrix factorization
- instance level constraints
- matrix factorization
- data sets
- learning algorithm
- similarity graph