A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods.
Carlos AlzateJohan A. K. SuykensPublished in: IJCNN (2006)
Keyphrases
- kernel pca
- kernel methods
- laplacian eigenmaps
- principal component analysis
- kernel principal component analysis
- feature space
- spectral clustering
- dimensionality reduction
- kernel function
- input space
- face recognition
- linear discriminant analysis
- kernel matrix
- component analysis
- data mining
- spectral analysis
- low dimensional
- graph kernels
- data points
- decision trees