Random Matrix-Improved Kernels For Large Dimensional Spectral Clustering.
Hafiz Tiomoko AliAbla KammounRomain CouilletPublished in: SSP (2018)
Keyphrases
- spectral clustering
- similarity matrix
- affinity matrix
- eigendecomposition
- pairwise
- clustering method
- laplacian matrix
- k means
- data clustering
- clustering algorithm
- nonnegative matrix factorization
- low rank approximation
- eigenvalue decomposition
- positive definite
- constrained spectral clustering
- image segmentation
- graph kernels
- spectral methods
- normalized cut
- kernel function
- spectral relaxation
- graph matching
- negative matrix factorization
- evolutionary clustering
- linear combination
- graph laplacian
- active learning
- feature space
- graph partitioning
- pairwise constraints
- multiple kernel learning
- data mining
- subspace clustering
- singular value decomposition
- covariance matrix
- reinforcement learning
- training data
- image processing