Membership Embedding Space Approach and Spectral Clustering.
Stefano RovettaFrancesco MasulliMaurizio FilipponePublished in: KES (3) (2007)
Keyphrases
- spectral clustering
- embedding space
- graph laplacian
- manifold structure
- euclidean space
- low dimensional
- manifold learning
- dimensionality reduction
- clustering method
- high dimensional
- graph embedding
- geometric structure
- pairwise
- data points
- data clustering
- input space
- k means
- nonlinear dimensionality reduction
- geodesic distance
- clustering algorithm
- image segmentation
- pairwise constraints
- euclidean distance
- high dimensional data
- principal component analysis
- subspace learning
- riemannian manifolds
- image processing
- vector space
- shape analysis
- similarity measure