Semi-Supervised Subspace Clustering via Non-Negative Low-Rank Representation for Hyperspectral Images.
Jipan YangDexiang ZhangTeng LiYan WangQing YanPublished in: RCAR (2018)
Keyphrases
- subspace clustering
- hyperspectral images
- affinity matrix
- low rank representation
- semi supervised
- low rank
- high dimensional data
- hyperspectral
- clustering method
- hyperspectral imagery
- linear subspace
- semi supervised learning
- subspace clusters
- clustering algorithm
- remote sensing
- labeled data
- multi view
- pairwise
- multispectral
- active learning
- supervised learning
- unlabeled data
- unsupervised learning
- dimensionality reduction
- target detection
- nearest neighbor
- high dimensional
- manifold learning
- pairwise constraints
- semi supervised classification
- data analysis
- subspace learning
- infrared
- matrix factorization
- spectral clustering
- high dimensionality
- singular value decomposition
- missing data
- data sets
- low dimensional
- principal component analysis
- face recognition
- learning algorithm