Accelerated Spectral Clustering Using Graph Filtering Of Random Signals.
Nicolas TremblayGilles PuyPierre BorgnatRémi GribonvalPierre VandergheynstPublished in: CoRR (2015)
Keyphrases
- spectral clustering
- graph laplacian
- graph partitioning
- graph construction
- normalized cut
- similarity matrix
- laplacian matrix
- label propagation
- graph clustering
- spectral methods
- spectral analysis
- similarity graph
- clustering method
- data clustering
- pairwise
- image segmentation
- pairwise similarities
- k means
- constrained spectral clustering
- eigendecomposition
- affinity matrix
- random walk
- weighted graph
- graph model
- alternative clusterings
- clustering algorithm
- graph matching
- pairwise constraints
- negative matrix factorization
- constrained clustering
- manifold structure
- directed graph
- data points
- heat kernel
- object recognition
- graph structure
- evolutionary clustering