Feature selection for noisy variation patterns using kernel principal component analysis.
Anshuman SahuDaniel W. ApleyGeorge C. RungerPublished in: Knowl. Based Syst. (2014)
Keyphrases
- kernel principal component analysis
- feature selection
- feature extraction
- feature space
- kernel pca
- discriminant analysis
- kernel matrix
- preprocessing
- text categorization
- kernel function
- kernel methods
- principal component analysis
- classification accuracy
- dimensionality reduction
- principal components
- model selection
- text classification
- data mining techniques
- missing data
- pattern mining
- feature subset
- support vector machine
- support vector