When big data actually are low-rank, or entrywise approximation of certain function-generated matrices.
Stanislav S. BudzinskiyPublished in: CoRR (2024)
Keyphrases
- big data
- low rank
- matrix completion
- low rank matrix
- low rank approximation
- frobenius norm
- matrix decomposition
- singular value decomposition
- eigendecomposition
- data matrix
- missing data
- singular values
- linear combination
- convex optimization
- matrix factorization
- cloud computing
- data management
- low rank matrices
- big data analytics
- rank minimization
- approximation methods
- affinity matrix
- low rank and sparse
- kernel matrix
- business intelligence
- knowledge discovery
- data analysis
- semi supervised
- social media
- high order
- data processing
- high dimensional data
- binary matrix
- data warehousing
- collaborative filtering
- social networks
- database
- information processing
- supervised learning
- least squares
- face recognition
- case study