Keyphrases
- laplacian eigenmaps
- manifold learning
- kernel pca
- nonlinear dimensionality reduction
- graph laplacian
- empirical mode decomposition
- dynamic time warping
- locally linear embedding
- dimensionality reduction
- low dimensional
- support vector regression
- semi supervised
- euclidean space
- dimensionality reduction methods
- dimension reduction
- similarity search
- high dimensional data
- principal component analysis
- data analysis