A parameter-free graph reduction for spectral clustering and SpectralNet.
Mashaan A. AlshammariJohn StavrakakisMasahiro TakatsukaPublished in: CoRR (2023)
Keyphrases
- spectral clustering
- parameter free
- graph laplacian
- graph partitioning
- graph construction
- normalized cut
- similarity matrix
- label propagation
- laplacian matrix
- graph clustering
- spectral methods
- data clustering
- similarity graph
- clustering method
- pairwise
- categorical data
- image segmentation
- eigendecomposition
- affinity matrix
- constrained spectral clustering
- graph representation
- outlier detection
- k means
- random walk
- clustering algorithm
- evolutionary clustering
- fully automatic
- bipartite graph
- similarity measure
- data mining
- image processing
- adjacency matrix
- directed graph
- heat kernel
- graph kernels
- computer vision
- graph model