Kernel PCA for multivariate extremes.
Marco Avella-MedinaRichard A. DavisGennady SamorodnitskyPublished in: CoRR (2022)
Keyphrases
- kernel pca
- laplacian eigenmaps
- kernel methods
- principal component analysis
- kernel principal component analysis
- kernel function
- spectral clustering
- feature space
- dimensionality reduction
- input space
- face recognition
- regression model
- feature extraction
- kernel matrix
- gram matrix
- linear discriminant analysis
- component analysis
- machine learning
- support vector machine
- high dimensional data
- support vector
- training data
- data mining