Spectral Convergence of Symmetrized Graph Laplacian on manifolds with boundary.
J. Wilson PeoplesJohn HarlimPublished in: CoRR (2021)
Keyphrases
- graph laplacian
- spectral analysis
- laplacian eigenmaps
- laplacian matrix
- euclidean space
- manifold structure
- underlying manifold
- spectral clustering
- low dimensional
- random walk
- manifold learning
- heat kernel
- basis functions
- laplace beltrami
- pointwise
- geometric structure
- riemannian manifolds
- weighted graph
- sparse coding
- semi supervised learning
- low rank
- kernel machines
- euclidean distance
- metric learning
- shape analysis
- neighborhood graph
- data points
- high dimensional
- geodesic distance
- machine learning
- labeled and unlabeled data
- metric space
- filter bank