Local Conditions for Triangulating Submanifolds of Euclidean Space.
Jean-Daniel BoissonnatRamsay DyerArijit GhoshAndré LieutierMathijs WintraeckenPublished in: Discret. Comput. Geom. (2021)
Keyphrases
- euclidean space
- low dimensional
- shape analysis
- metric space
- riemannian manifolds
- high dimensional
- data points
- vector space
- quadratic form
- dimensional euclidean space
- dimensionality reduction
- high dimensional data
- geodesic distance
- discrete space
- euclidean distance
- manifold learning
- feature space
- linear subspace
- pairwise distances
- multi dimensional scaling
- fisher information
- feature selection
- neural network
- geometrical structure
- multidimensional scaling
- data structure
- principal component analysis