On a Problem of Weighted Low-Rank Approximation of Matrices.
Aritra DuttaXin LiPublished in: SIAM J. Matrix Anal. Appl. (2017)
Keyphrases
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- low rank
- spectral clustering
- subspace learning
- iterative algorithms
- kernel matrix
- low rank matrices
- reconstruction error
- data dependent
- adjacency matrix
- nonnegative matrix factorization
- matrix completion
- latent semantic indexing
- weighted graph
- singular values
- missing data
- linear combination
- dimensionality reduction
- least squares
- kernel methods
- machine learning
- high order
- eigendecomposition
- low rank matrix
- feature selection
- information retrieval