Spatially Weighted Principal Component Regression for High-Dimensional Prediction.
Dan ShenHongtu ZhuPublished in: IPMI (2015)
Keyphrases
- high dimensional
- principal component regression
- prediction accuracy
- low dimensional
- kernel space
- dimensionality reduction
- data points
- principal components
- prediction model
- feature space
- parameter space
- feature extraction
- kernel function
- partial least squares
- data sets
- discriminant analysis
- dimension reduction
- data mining