On feature selection with principal component analysis for one-class SVM.
Heng LianPublished in: Pattern Recognit. Lett. (2012)
Keyphrases
- principal component analysis
- feature selection
- dimensionality reduction
- feature extraction
- feature space
- dimension reduction
- feature reduction
- text categorization
- covariance matrix
- text classification
- face recognition
- linear discriminant analysis
- principal components
- feature set
- low dimensional
- high dimensionality
- face images
- discriminant analysis
- independent component analysis
- negative matrix factorization
- irrelevant features
- selected features
- multi class
- support vector machine
- knn
- redundant features
- method for feature selection
- feature selection algorithms
- genetic algorithm
- informative features
- sparse pca
- information gain
- model selection
- mutual information
- classification accuracy
- support vector
- neural network
- feature subset
- rough sets
- image registration
- pattern recognition
- neural classifier
- multi class svm
- linear discriminate analysis