On Missing Data Hybridizations for Dimensionality Reduction.
Oliver KramerPublished in: Hybrid Metaheuristics (2013)
Keyphrases
- missing data
- dimensionality reduction
- high dimensional
- incomplete data
- low rank
- missing values
- high dimensional data
- data representation
- principal component analysis
- low dimensional
- random projections
- matrix factorization
- pattern recognition
- structure from motion
- feature extraction
- feature selection
- singular value decomposition
- motion segmentation
- data imputation
- high dimensionality
- data points
- linear discriminant analysis
- nearest neighbor
- multiple imputation
- principal components
- imprecise data
- feature space
- neural network
- data matrix
- matrix completion
- data sets