A Support Vector Machine Formulation To Kernel PCA.
Nishant ChandraNicolas H. YounanPublished in: IC-AI (2005)
Keyphrases
- kernel pca
- support vector machine
- kernel methods
- kernel function
- kernel principal component analysis
- laplacian eigenmaps
- feature space
- svm classifier
- machine learning
- multi class
- support vector machine svm
- support vector
- kernel matrix
- principal component analysis
- dimensionality reduction
- training data
- feature vectors
- input space
- radial basis function
- spectral clustering
- k nearest neighbor
- feature selection
- feature extraction
- knn
- maximum margin
- support vector regression
- neural network
- generalization ability
- discriminant analysis
- classification method
- training set