Low Rank Approximation of a Sparse Matrix Based on LU Factorization with Column and Row Tournament Pivoting.
Laura GrigoriSébastien CayrolsJames Weldon DemmelPublished in: SIAM J. Sci. Comput. (2018)
Keyphrases
- sparse matrix
- low rank approximation
- data matrix
- rows and columns
- singular value decomposition
- low rank
- matrix factorization
- nonnegative matrix factorization
- missing data
- kernel matrix
- linear combination
- semi supervised
- singular values
- convex optimization
- least squares
- dimension reduction
- high dimensional data
- dimensionality reduction
- principal component analysis
- spectral clustering
- random projections
- original data
- high order
- pattern recognition
- negative matrix factorization
- data representation
- data sets
- high dimensionality