Out-of-sample eigenvectors in kernel spectral clustering.
Carlos AlzateJohan A. K. SuykensPublished in: IJCNN (2011)
Keyphrases
- spectral clustering
- kernel pca
- laplacian matrix
- affinity matrix
- normalized cut
- graph laplacian
- pairwise
- eigendecomposition
- clustering method
- data clustering
- kernel function
- similarity matrix
- spectral methods
- pairwise constraints
- eigenvalue decomposition
- feature space
- clustering algorithm
- graph partitioning
- graph clustering
- image segmentation
- k means
- support vector
- constrained spectral clustering
- positive definite
- graph kernels
- kernel machines
- kernel methods
- kernel learning
- reproducing kernel hilbert space
- kernel matrix
- subspace clustering
- evolutionary clustering
- random walk