On computing the diameter of a point set in high dimensional Euclidean space.
Daniele V. FinocchiaroMarco PellegriniPublished in: Theor. Comput. Sci. (2002)
Keyphrases
- euclidean space
- point sets
- metric space
- high dimensional
- low dimensional
- data points
- point correspondences
- point cloud
- distance function
- riemannian manifolds
- embedding space
- geodesic distance
- convex hull
- vector space
- similarity search
- high dimensional data
- shape analysis
- pairwise
- feature space
- dimensional euclidean space
- euclidean distance
- dimensionality reduction
- principal component analysis
- manifold learning
- point set registration
- pairwise distances
- range queries
- data structure
- image processing
- fisher information
- neural network