Keyphrases
- spectral clustering
- graph laplacian
- locality preserving projections
- graph partitioning
- normalized cut
- similarity matrix
- manifold structure
- graph construction
- dimensionality reduction
- graph clustering
- similarity graph
- face recognition
- laplacian matrix
- spectral methods
- clustering method
- data clustering
- label propagation
- pairwise
- affinity matrix
- k means
- constrained spectral clustering
- clustering algorithm
- directed graph
- image segmentation
- principal component analysis
- evolutionary clustering
- random walk
- pairwise constraints
- manifold learning
- eigendecomposition
- feature extraction
- weighted graph
- subspace learning
- graph representation
- expectation maximization
- adjacency matrix
- low dimensional
- neighborhood graph
- training data
- graph matching
- graph model