Monitoring Statistics and Tuning of Kernel Principal Component Analysis With Radial Basis Function Kernels.
Ruomu TanJames R. OttewillNina F. ThornhillPublished in: IEEE Access (2020)
Keyphrases
- kernel principal component analysis
- radial basis function
- kernel function
- support vector machine svm
- rbf kernel
- support vector
- kernel methods
- rbf neural network
- kernel pca
- support vector machine
- feature extraction
- rbf network
- discriminant analysis
- principal components
- preprocessing
- principal component analysis
- feature space
- basis functions
- artificial neural networks
- neural network
- classification method
- kernel matrix
- high dimensional
- linear discriminant analysis
- face recognition
- feature vectors
- high dimensional feature space
- data sets
- knn
- svm classifier
- machine learning
- small number
- feature set
- graph kernels
- positive definite
- feature selection
- input space
- gaussian processes
- pattern recognition
- kernel machines
- k nearest neighbor