Optimal terminal dimensionality reduction in Euclidean space.
Shyam NarayananJelani NelsonPublished in: CoRR (2018)
Keyphrases
- euclidean space
- dimensionality reduction
- low dimensional
- euclidean distance
- data points
- embedding space
- metric space
- shape analysis
- riemannian manifolds
- high dimensional
- geodesic distance
- high dimensional data
- vector space
- principal component analysis
- pairwise distances
- discrete space
- quadratic form
- dimensionality reduction methods
- multi dimensional scaling
- locally linear embedding
- dimensional euclidean space
- data representation
- manifold learning
- feature selection
- input space
- principal components
- closed form
- similarity search
- feature extraction
- image segmentation
- neural network