Keyphrases
- spectral clustering
- kernel pca
- normalized cut
- data clustering
- pairwise
- similarity matrix
- graph laplacian
- clustering method
- affinity matrix
- laplacian matrix
- feature space
- eigendecomposition
- clustering algorithm
- pairwise constraints
- kernel function
- k means
- image segmentation
- spectral methods
- kernel learning
- constrained spectral clustering
- graph partitioning
- support vector
- kernel methods
- graph kernels
- alternative clusterings
- positive definite
- feature selection
- similarity graph
- kernel matrix
- unsupervised learning
- input space
- evolutionary clustering