Active Learning-Based Semi-supervised Spectral Clustering Algorithm.
Weijin JiangYirong JiangYang WangJiahui ChenLina TanPublished in: ICCSIP (1) (2018)
Keyphrases
- semi supervised
- active learning
- clustering algorithm
- semi supervised learning
- semi supervised clustering
- labeled data
- supervised learning
- normalized cut
- random sampling
- unlabeled data
- labeled examples
- learning algorithm
- hyperspectral image classification
- machine learning
- training examples
- pool based active learning
- multi view
- unsupervised learning
- co training
- spectral analysis
- metric learning
- pairwise
- hyperspectral imagery
- pairwise constraints
- experimental design
- hyperspectral
- semi supervised classification
- spectral clustering
- training set
- learning strategies
- manifold learning
- label propagation
- document clustering
- k means
- active learning strategies
- labeled and unlabeled data
- batch mode
- clustering approaches
- clustering analysis
- arbitrary shape
- incremental learning
- fuzzy clustering
- hierarchical clustering
- data clustering
- clustering method
- selective sampling
- reinforcement learning
- feature selection
- constrained clustering
- subspace learning
- hyperspectral images
- multispectral images
- relevance feedback
- multispectral