Kernel Subspace Clustering based on Block Diagonal Representation and Sparse Constraints.
Lili FanGui-Fu LuGanyi TangYong WangPublished in: DSA (2022)
Keyphrases
- block diagonal
- kernel matrix
- linear programming problems
- affinity matrix
- high dimensional
- feature space
- kernel function
- constrained optimization
- machine learning
- input space
- subspace learning
- linear programming
- multiple objectives
- primal dual
- spectral clustering
- low dimensional
- semidefinite programming
- feature extraction
- face recognition