An Improved Ultra-Scalable Spectral Clustering Assessment with Isolation Kernel.
Jinzhu LiuPeng WuPublished in: KSEM (3) (2024)
Keyphrases
- spectral clustering
- kernel pca
- normalized cut
- graph laplacian
- data clustering
- affinity matrix
- pairwise
- clustering method
- laplacian matrix
- eigendecomposition
- clustering algorithm
- constrained spectral clustering
- kernel function
- kernel methods
- graph partitioning
- image segmentation
- k means
- constrained clustering
- similarity matrix
- evolutionary clustering
- label propagation
- support vector
- similarity graph
- graph clustering
- alternative clusterings
- kernel machines
- feature space
- spectral methods
- kernel matrix
- data mining
- matrix factorization
- random walk
- reinforcement learning
- image processing