Keyphrases
- low dimensional
- euclidean space
- high dimensional
- dimensionality reduction
- manifold learning
- high dimensional data
- data points
- principal component analysis
- vector space
- subspace learning
- feature space
- dimension reduction
- lower dimensional
- euclidean distance
- multidimensional scaling
- input space
- riemannian manifolds
- pattern recognition
- linear subspace
- low dimensional spaces
- nonlinear dimensionality reduction
- lie group
- pairwise distances
- feature selection
- finite dimensional
- latent space
- volume data
- shape analysis
- embedding space
- learning algorithm