Exploiting sparsity to improve the accuracy of Nyström-based large-scale spectral clustering.
Mahesh MohanClaire MonteleoniPublished in: IJCNN (2017)
Keyphrases
- spectral clustering
- clustering method
- data clustering
- pairwise
- similarity matrix
- image segmentation
- eigendecomposition
- evolutionary clustering
- graph laplacian
- k means
- low rank matrix approximation
- high dimensional
- clustering algorithm
- alternative clusterings
- spectral methods
- normalized cut
- constrained spectral clustering
- constrained clustering
- sparse representation
- computer vision
- negative matrix factorization
- model selection
- object recognition
- data mining