Gaussian Kernel Dynamic Similarity Matrix Based Sparse Subspace Clustering for Hyperspectral Images.
Yonghong LongXiuqin DengGuoxiang ZhongJuan FanFuchun LiuPublished in: CIS (2019)
Keyphrases
- subspace clustering
- hyperspectral images
- similarity matrix
- gaussian kernel
- clustering method
- high dimensional
- clustering algorithm
- hyperspectral
- high dimensional data
- scale space
- spectral clustering
- pairwise
- remote sensing
- dimension reduction
- sparse representation
- machine learning
- high dimensionality
- similarity measure
- kernel methods
- low rank
- support vector machine
- training set
- model selection
- text classification