Keyphrases
- manifold learning
- nonlinear dimensionality reduction
- laplacian eigenmaps
- high dimensional data
- manifold embedding
- locality preserving
- data embedding
- embedding space
- low dimensional
- nonlinear manifold learning
- dimensionality reduction
- locality preserving projections
- multidimensional scaling
- geodesic distance
- diffusion maps
- discriminant embedding
- semi supervised
- dimension reduction
- subspace learning
- high dimensional
- high dimensionality
- latent space
- k means
- intrinsic manifold
- unsupervised learning
- low dimensional manifolds
- head pose estimation
- clustering algorithm
- data points
- locally linear embedding
- clustering method
- manifold structure
- feature space
- sparse representation
- principal component analysis
- spectral clustering
- cluster analysis
- nearest neighbor
- dimensional data
- learning process
- data clustering
- feature extraction
- nonlinear manifold