NSCKL: Normalized Spectral Clustering With Kernel-Based Learning for Semisupervised Hyperspectral Image Classification.
Yuanchao SuLianru GaoMengying JiangAntonio PlazaXu SunBing ZhangPublished in: IEEE Trans. Cybern. (2023)
Keyphrases
- spectral clustering
- kernel based learning
- hyperspectral image classification
- semi supervised
- active learning
- kernel learning
- supervised learning
- pairwise
- learning problems
- pairwise constraints
- hyperspectral
- semi supervised learning
- hyperspectral images
- data clustering
- labeled data
- unlabeled data
- clustering method
- similarity matrix
- unsupervised learning
- k means
- clustering algorithm
- multispectral
- image segmentation
- learning algorithm
- learning process
- machine learning
- dimensionality reduction
- learning tasks
- similarity measure
- training set
- low rank
- metric learning
- data points
- image processing