Ensemble Minimum Sum of Squared Similarities sampling for Nyström-based spectral clustering.
Djallel BouneffoufInanç BirolPublished in: IJCNN (2016)
Keyphrases
- spectral clustering
- low rank approximation
- data clustering
- pairwise similarities
- pairwise
- clustering method
- eigendecomposition
- similarity measure
- clustering algorithm
- k means
- low rank matrix approximation
- negative matrix factorization
- nonnegative matrix factorization
- similarity matrix
- image segmentation
- evolutionary clustering
- random sampling
- least squares
- ensemble methods
- learning algorithm
- clustering quality
- normalized cut
- constrained spectral clustering
- spectral methods
- graph laplacian
- graph clustering
- graph partitioning
- training set
- unsupervised learning
- maximum likelihood