Investigation of Spectral Clustering for Signed Graph Matrix Representations.
Alyson FoxGeoffrey SandersAndrew KnyazevPublished in: HPEC (2018)
Keyphrases
- spectral clustering
- similarity matrix
- laplacian matrix
- graph laplacian
- affinity matrix
- graph partitioning
- normalized cut
- adjacency matrix
- graph clustering
- graph construction
- label propagation
- clustering method
- eigenvalue decomposition
- eigendecomposition
- spectral methods
- pairwise
- similarity graph
- data clustering
- image segmentation
- clustering algorithm
- evolutionary clustering
- graph kernels
- pairwise constraints
- k means
- low rank approximation
- nonnegative matrix factorization
- similarity measure
- random walk
- graph matching
- weighted graph
- graph representation
- low dimensional
- constrained clustering
- co occurrence
- machine learning
- negative matrix factorization
- constrained spectral clustering