Keyphrases
- principal component analysis
- feature extraction
- kernel principal component analysis
- feature space
- pattern recognition
- incremental learning
- pattern classification
- preprocessing
- automatic classification
- machine learning
- decision rules
- classification algorithm
- dimension reduction
- classification accuracy
- support vector
- kernel pca
- linear dimensionality reduction
- support vector machine svm
- feature vectors
- support vector machine
- text classification
- principle component analysis
- decision trees
- principal components analysis
- classification systems
- dimensionality reduction
- singular value decomposition
- classification rules
- classification method
- image classification
- recognition rate
- model selection
- covariance matrix
- classification models
- high dimensional
- classification scheme
- svm classifier
- class labels
- feature selection
- extracting features
- data sets