Keyphrases
- laplacian eigenmaps
- manifold learning
- kernel pca
- nonlinear dimensionality reduction
- dynamic time warping
- graph laplacian
- empirical mode decomposition
- dimensionality reduction
- low dimensional
- euclidean space
- locally linear embedding
- principal component analysis
- input space
- feature space
- dimension reduction
- support vector regression