Divide-and-conquer based Large-Scale Spectral Clustering.
Hongmin LiXiucai YeAkira ImakuraTetsuya SakuraiPublished in: CoRR (2021)
Keyphrases
- spectral clustering
- clustering method
- data clustering
- image segmentation
- pairwise
- clustering algorithm
- similarity matrix
- constrained spectral clustering
- graph partitioning
- eigendecomposition
- affinity matrix
- nonnegative matrix factorization
- k means
- label propagation
- graph laplacian
- alternative clusterings
- pairwise constraints
- graph clustering
- negative matrix factorization
- real world
- evolutionary clustering
- computer vision
- laplacian matrix
- spectral methods
- clustering quality
- constrained clustering
- normalized cut
- random walk
- machine learning