Spectral Clustering on Manifolds with Statistical and Geometrical Similarity.
Yong ChengQiang TongPublished in: ISNN (1) (2010)
Keyphrases
- spectral clustering
- similarity matrix
- normalized cut
- similarity graph
- alternative clusterings
- manifold structure
- clustering quality
- clustering method
- data clustering
- image segmentation
- k means
- evolutionary clustering
- similarity measure
- euclidean space
- pairwise
- graph partitioning
- graph laplacian
- affinity matrix
- constrained spectral clustering
- kernel pca
- clustering algorithm
- label propagation
- euclidean distance
- eigendecomposition
- low dimensional
- spectral methods
- pairwise similarities
- feature space
- image processing
- similarity metric
- manifold learning
- shape analysis
- similarity function
- high dimensional
- learning algorithm