Sampling with Minimum Sum of Squared Similarities for Nystrom-Based Large Scale Spectral Clustering.
Djallel BouneffoufInanç BirolPublished in: IJCAI (2015)
Keyphrases
- spectral clustering
- data clustering
- clustering method
- pairwise
- low rank approximation
- pairwise similarities
- clustering algorithm
- constrained spectral clustering
- laplacian matrix
- similarity matrix
- image segmentation
- k means
- normalized cut
- affinity matrix
- pairwise constraints
- eigendecomposition
- graph laplacian
- sample size
- evolutionary clustering
- least squares
- graph clustering
- label propagation
- constrained clustering
- spectral methods
- image processing
- data mining
- similarity measure
- knowledge discovery
- real world
- maximum likelihood