Compressed Randomized UTV Decompositions for Low-Rank Approximations and Big Data Applications.
Maboud F. KalooraziRodrigo C. de LamarePublished in: CoRR (2018)
Keyphrases
- big data
- low rank approximation
- singular value decomposition
- low rank
- data analysis
- data management
- cloud computing
- social media
- least squares
- big data analytics
- kernel matrix
- knowledge discovery
- subspace learning
- reconstruction error
- business intelligence
- data processing
- spectral clustering
- dimensionality reduction
- latent semantic indexing
- nonnegative matrix factorization
- iterative algorithms
- data warehousing
- clustering method
- machine learning
- database