Empirical Evaluation of Kernel PCA Approximation Methods in Classification Tasks.
Deena P. FrancisKumudha RaimondPublished in: CoRR (2017)
Keyphrases
- empirical evaluation
- approximation methods
- kernel pca
- principal component analysis
- kernel methods
- spectral clustering
- kernel function
- face recognition
- feature space
- dimensionality reduction
- kernel matrix
- input space
- belief state
- support vector machine
- component analysis
- feature maps
- low dimensional
- data sets
- small number
- bayesian networks
- learning algorithm
- data mining
- neural network