Consensus kernel subspace clustering based on coefficient discriminant information.
Zhongyuan WangJinglei LiuPublished in: Appl. Soft Comput. (2021)
Keyphrases
- discriminant information
- graph embedding
- dimensionality reduction
- linear discriminant analysis
- face recognition
- principal component analysis
- data points
- feature extraction
- feature space
- covariance matrices
- discriminant analysis
- null space
- fisher criterion
- intra class
- low dimensional
- small sample size
- support vector
- subspace learning
- input space
- kernel function
- semi supervised
- high dimensional
- kernel methods
- high dimensional data
- embedding space
- data representation
- principal components
- high dimensionality
- linear subspace
- reproducing kernel hilbert space
- feature representation
- singular value decomposition
- maximum likelihood
- distance measure