Graph Embeddings and Laplacian Eigenvalues.
Stephen GuatteryGary L. MillerPublished in: SIAM J. Matrix Anal. Appl. (2000)
Keyphrases
- laplacian matrix
- low dimensional
- graph laplacian
- adjacency matrix
- spectral clustering
- vector space
- spectral methods
- graph representation
- spectral decomposition
- random walk
- manifold learning
- heat kernel
- graph structure
- euclidean space
- directed acyclic graph
- structured data
- graph clustering
- covariance matrix
- dimensionality reduction
- graph kernels
- pseudo inverse
- weighted graph
- principal components
- directed graph
- data points
- pairwise
- eigenvalues and eigenvectors
- graph classification
- graph theoretic
- undirected graph
- shape analysis
- sparse coding
- singular value decomposition
- high dimensional data
- edge detection
- high dimensional