Accelerated spectral clustering using graph filtering of random signals.
Nicolas TremblayGilles PuyPierre BorgnatRémi GribonvalPierre VandergheynstPublished in: ICASSP (2016)
Keyphrases
- spectral clustering
- graph laplacian
- graph construction
- graph partitioning
- similarity matrix
- normalized cut
- laplacian matrix
- graph clustering
- similarity graph
- label propagation
- spectral methods
- data clustering
- clustering method
- pairwise
- spectral analysis
- k means
- eigendecomposition
- clustering algorithm
- image segmentation
- pairwise similarities
- constrained spectral clustering
- affinity matrix
- random walk
- graph structure
- pairwise constraints
- alternative clusterings
- constrained clustering
- graph representation
- negative matrix factorization
- unsupervised learning
- adjacency matrix
- weighted graph
- data mining
- neighborhood graph
- graph model
- spanning tree
- evolutionary clustering