Improving CUR matrix decomposition and the Nyström approximation via adaptive sampling.
Shusen WangZhihua ZhangPublished in: J. Mach. Learn. Res. (2013)
Keyphrases
- matrix decomposition
- adaptive sampling
- low rank
- low rank approximation
- nonnegative matrix factorization
- monte carlo
- singular value decomposition
- random sampling
- singular values
- low rank matrix
- kernel matrix
- spectral clustering
- linear combination
- subspace learning
- data matrix
- high order
- missing data
- approximation methods
- eigendecomposition
- control charts
- sampling methods
- matrix factorization
- semi supervised
- adjacency matrix
- high dimensional data
- clustering method
- principal component analysis