Divide-and-conquer based large-scale spectral clustering.
Hongmin LiXiucai YeAkira ImakuraTetsuya SakuraiPublished in: Neurocomputing (2022)
Keyphrases
- spectral clustering
- pairwise
- clustering method
- data clustering
- eigendecomposition
- affinity matrix
- graph partitioning
- clustering algorithm
- alternative clusterings
- constrained spectral clustering
- evolutionary clustering
- k means
- image segmentation
- similarity matrix
- graph laplacian
- laplacian matrix
- spectral methods
- nonnegative matrix factorization
- constrained clustering
- pairwise constraints
- real world
- clustering quality
- negative matrix factorization
- unsupervised learning
- computer vision
- machine learning