Clustering dynamics on graphs: from spectral clustering to mean shift through Fokker-Planck interpolation.
Katy CraigNicolás García TrillosDejan SlepcevPublished in: CoRR (2021)
Keyphrases
- spectral clustering
- mean shift
- normalized cut
- graph clustering
- graph partitioning
- clustering method
- mode seeking
- graph construction
- spectral methods
- data clustering
- k means
- clustering algorithm
- laplacian matrix
- pairwise
- density function
- similarity matrix
- similarity graph
- particle filter
- feature space
- evolutionary clustering
- graph cuts
- clustering quality
- nonnegative matrix factorization
- weighted graph
- graph matching
- image segmentation
- back projection
- constrained clustering
- machine learning
- graph model
- graph structure
- data mining
- riemannian manifolds
- foreground and background
- cluster analysis
- classical clustering algorithms