Equiangular Lines in Low Dimensional Euclidean Spaces.
Gary R. W. GreavesJeven SyatriadiPavlo YatsynaPublished in: Comb. (2021)
Keyphrases
- euclidean space
- low dimensional
- high dimensional
- high dimensional data
- higher dimensional
- dimensionality reduction
- wide class
- riemannian manifolds
- data points
- principal component analysis
- manifold learning
- vector space
- pairwise distances
- dimension reduction
- square root
- input space
- finite dimensional
- multidimensional scaling
- embedding space
- feature space
- reproducing kernel hilbert space
- geodesic distance
- line drawings
- linear subspace
- metric space
- neural network
- dimensional euclidean space
- probability density function
- multi dimensional
- multi class