Higher-Order Spectral Clustering for Geometric Graphs.
Konstantin AvrachenkovAndrei BobuMaximilien DrevetonPublished in: CoRR (2020)
Keyphrases
- spectral clustering
- higher order
- pairwise
- graph partitioning
- graph construction
- graph clustering
- spectral methods
- high order
- laplacian matrix
- graph matching
- clustering method
- data clustering
- clustering algorithm
- affinity matrix
- similarity matrix
- similarity graph
- eigendecomposition
- graph laplacian
- k means
- markov random field
- constrained spectral clustering
- normalized cut
- label propagation
- evolutionary clustering
- image segmentation
- weighted graph
- adjacency matrix
- heat kernel
- graph kernels
- constrained clustering
- graph model
- geometric structure
- laplace beltrami
- objective function
- training data