Keyphrases
- nonlinear dimensionality reduction
- manifold learning
- laplacian eigenmaps
- low dimensional
- multidimensional scaling
- maximum variance unfolding
- dimensionality reduction
- locally linear embedding
- data embedding
- semi supervised
- feature mapping
- high dimensional data
- geodesic distance
- euclidean space
- high dimensional
- dimension reduction
- locality preserving projections
- manifold learning algorithm
- subspace learning
- low dimensional manifolds
- feature extraction
- principal component analysis
- manifold structure
- latent space
- riemannian manifolds
- feature space
- machine learning
- neighborhood graph
- sparse representation
- euclidean distance
- pattern classification