Enhance explainability of manifold learning.
Henry HanWentian LiJiacun WangGuimin QinXianya QinPublished in: Neurocomputing (2022)
Keyphrases
- manifold learning
- low dimensional
- semi supervised
- dimensionality reduction
- nonlinear dimensionality reduction
- dimension reduction
- high dimensional
- subspace learning
- diffusion maps
- feature extraction
- high dimensional data
- feature space
- laplacian eigenmaps
- locality preserving
- locally linear embedding
- high dimensionality
- pattern recognition
- discriminant projection
- manifold structure
- manifold learning algorithm
- intrinsic manifold
- riemannian manifolds
- geodesic distance
- least squares
- support vector
- training data