A Unified Framework for Spectral Clustering in Sparse Graphs.
Lorenzo Dall'AmicoRomain CouilletNicolas TremblayPublished in: J. Mach. Learn. Res. (2021)
Keyphrases
- spectral clustering
- graph partitioning
- graph construction
- graph clustering
- spectral methods
- laplacian matrix
- eigenvalue decomposition
- low rank approximation
- data clustering
- pairwise
- clustering method
- image segmentation
- clustering algorithm
- similarity graph
- k means
- label propagation
- normalized cut
- constrained spectral clustering
- evolutionary clustering
- graph matching
- negative matrix factorization
- eigendecomposition
- graph structures
- graph laplacian
- low rank representation
- image processing
- pairwise constraints
- similarity matrix
- nonnegative matrix factorization
- graph structure
- directed graph
- high dimensional
- graph representation
- graph mining
- weighted graph
- sparse coding
- sparse representation
- random walk
- data analysis
- data mining