Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment
Zhenyue ZhangHongyuan ZhaPublished in: CoRR (2002)
Keyphrases
- nonlinear dimension reduction
- manifold learning
- nonlinear dimensionality reduction
- low dimensional
- dimensionality reduction
- semi supervised
- subspace learning
- high dimensional data
- locally linear embedding
- dimension reduction
- high dimensional
- feature extraction
- sparse representation
- principal curves
- data sets
- geodesic distance
- euclidean space
- principal component analysis
- riemannian manifolds
- feature space