Spectral Modification of Graphs for Improved Spectral Clustering.
Ioannis KoutisHuong LePublished in: NeurIPS (2019)
Keyphrases
- spectral clustering
- spectral methods
- laplacian matrix
- normalized cut
- graph partitioning
- graph clustering
- spectral analysis
- graph laplacian
- graph construction
- clustering method
- data clustering
- eigendecomposition
- clustering algorithm
- adjacency matrix
- pairwise
- k means
- constrained spectral clustering
- similarity graph
- low dimensional
- image segmentation
- similarity matrix
- evolutionary clustering
- random walk
- spectral relaxation
- weighted graph
- feature extraction
- affinity matrix
- heat kernel
- machine learning
- constrained clustering
- covariance matrix
- graph kernels
- active learning
- principal component analysis
- graph matching