Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation.
Xiuyuan ChengNan WuPublished in: CoRR (2021)
Keyphrases
- graph laplacian
- random walk
- spectral analysis
- euclidean space
- spectral clustering
- manifold structure
- kernel machines
- basis functions
- heat kernel
- geometrical structure
- laplace beltrami
- weighted graph
- pointwise
- kernel function
- underlying manifold
- neighborhood graph
- semi supervised learning
- maximum likelihood
- principal component analysis
- labeled and unlabeled data
- manifold learning
- linear combination
- low dimensional
- probabilistic model