A preprocessing of outlier using KERNEL PCA and factor scores in regression model.
Kyung-Whan OhSung-Hae JunYong-Jun KimPublished in: FUZZ-IEEE (2009)
Keyphrases
- linear discriminant analysis
- regression model
- kernel pca
- preprocessing
- feature extraction
- principal component analysis
- dimensionality reduction
- face recognition
- feature space
- regression analysis
- model selection
- prediction model
- explanatory variables
- regression methods
- multivariate regression
- support vector regression
- gaussian process
- feature vectors
- image processing
- interval valued data
- kernel matrix
- cross validation
- factor analysis
- input space
- kernel methods
- neural network
- pattern recognition
- feature selection
- machine learning