A divide-and-conquer approach for solving singular value decomposition on a heterogeneous system.
Ding LiuRuixuan LiDavid J. LiljaWeijun XiaoPublished in: Conf. Computing Frontiers (2013)
Keyphrases
- singular value decomposition
- singular values
- least squares
- dimension reduction
- reconstruction error
- low rank
- latent semantic indexing
- dimensionality reduction
- principal component analysis
- latent semantic analysis
- correlation matrix
- neural network
- data matrix
- data sets
- pattern recognition
- factorization method
- low rank approximation
- singular vectors