Manifold Learning with Geodesic Minimal Spanning Trees
Jose CostaAlfred O. Hero IIIPublished in: CoRR (2003)
Keyphrases
- manifold learning
- spanning tree
- geodesic distance
- edge disjoint
- dimensionality reduction
- minimum cost
- nonlinear dimensionality reduction
- low dimensional
- subspace learning
- semi supervised
- high dimensional
- dimension reduction
- diffusion maps
- high dimensional data
- feature extraction
- laplacian eigenmaps
- locally linear embedding
- manifold structure
- data sets
- weighted graph
- shortest path
- riemannian manifolds
- neighborhood graph
- feature space
- embedding space
- low dimensional manifolds
- sparse representation