Keyphrases
- eigenvalue decomposition
- principal component analysis
- eigenvalues and eigenvectors
- laplacian matrix
- covariance matrix
- gaussian graphical models
- directed acyclic
- sparse data
- graph mining
- graph matching
- high dimensional
- graph theoretic
- singular value decomposition
- graph theory
- sparse matrix
- correlation matrix
- sparse coding
- sparse representation
- hessian matrix
- graph kernels
- dimensionality reduction
- linear combination
- graph clustering
- spectral clustering
- graph representation
- undirected graph
- graph model
- bipartite graph