Highly Sparse Reductions to Kernel Spectral Clustering.
Raghvendra MallRocco LangoneJohan A. K. SuykensPublished in: PReMI (2013)
Keyphrases
- sparse representation
- spectral clustering
- kernel pca
- normalized cut
- negative matrix factorization
- data clustering
- graph laplacian
- clustering method
- laplacian matrix
- pairwise
- eigendecomposition
- similarity matrix
- affinity matrix
- k means
- kernel function
- spectral methods
- nonnegative matrix factorization
- manifold learning
- image segmentation
- constrained spectral clustering
- kernel matrix
- kernel methods
- eigenvalue decomposition
- evolutionary clustering
- graph kernels
- reproducing kernel hilbert space
- kernel trick
- clustering algorithm
- kernel learning
- pairwise constraints
- kernel machines
- graph partitioning
- low rank approximation
- high dimensional data
- low rank representation