Dimensionality reduction to maximize prediction generalization capability.
Takuya IsomuraTaro ToyoizumiPublished in: Nat. Mach. Intell. (2021)
Keyphrases
- dimensionality reduction
- prediction accuracy
- high dimensionality
- principal components
- feature extraction
- high dimensional
- principal component analysis
- data points
- prediction model
- low dimensional
- pattern recognition
- prediction algorithm
- structure preserving
- data representation
- random projections
- feature space
- pattern recognition and machine learning
- database
- input space
- linear discriminant analysis
- high dimensional data
- artificial neural networks
- case study
- image processing
- feature selection