Maximizing the Smallest Eigenvalue of Grounded Laplacian Matrix.
Run WangXiaotian ZhouWei LiZhongzhi ZhangPublished in: CoRR (2021)
Keyphrases
- laplacian matrix
- covariance matrix
- spectral clustering
- spectral methods
- low dimensional
- adjacency matrix
- graph laplacian
- pseudo inverse
- random walk
- graph structure
- graph kernels
- spectral analysis
- heat kernel
- data mining applications
- euclidean space
- least squares
- vector space
- directed graph
- structured data
- manifold learning
- alpha matte