Keyphrases
- feature selection
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- low rank
- subspace learning
- dimensionality reduction
- low rank matrix
- low rank matrices
- spectral clustering
- kernel matrix
- adjacency matrix
- model selection
- iterative algorithms
- matrix completion
- reconstruction error
- latent semantic indexing
- data dependent
- clustering method
- nonnegative matrix factorization
- singular values
- positive definite
- eigendecomposition
- minimum cost
- kernel methods
- least squares
- semi supervised
- image segmentation