Keyphrases
- kernel based nonlinear
- feature space
- training data
- feature selection
- low dimensional
- svm classifier
- data points
- high dimensional
- generalized discriminant analysis
- nearest neighbor
- kernel pca
- training set
- support vector machine
- test sample
- decision trees
- input data
- nearest neighbor classifier
- classification process
- support vector
- k nearest
- nearest neighbour
- linear classifiers
- subspace clustering
- classification scheme
- classification method
- feature extraction
- classification rate
- principal components
- neural network
- subspace learning
- classifier ensemble
- kernel function
- classifier systems
- clustering method
- kernel principal component analysis
- dimensionality reduction
- subspace clusters
- semi supervised
- machine learning