Matrix decomposition and data reduction.
Morten DæhlenPer Gunnar HolmPublished in: Comput. Graph. (1995)
Keyphrases
- data reduction
- matrix decomposition
- singular value decomposition
- low rank
- nonnegative matrix factorization
- singular values
- data compression
- low rank matrix
- low rank approximation
- classification rules
- knowledge discovery
- least squares
- preprocessing
- feature selection
- data sets
- latent structure
- linear combination
- rough set theory
- dimensionality reduction
- data analysis
- model selection
- classification accuracy
- convex optimization
- matrix factorization
- data mining
- clustering algorithm
- image data
- high dimensionality
- genetic programming
- high dimensional data
- data points
- pattern recognition
- high quality
- decision trees
- missing data