Detecting influential observations in Kernel PCA.
Michiel DebruyneMia HubertJohan Van HorebeekPublished in: Comput. Stat. Data Anal. (2010)
Keyphrases
- kernel pca
- kernel methods
- kernel principal component analysis
- principal component analysis
- laplacian eigenmaps
- feature space
- dimensionality reduction
- kernel function
- kernel matrix
- input space
- face recognition
- spectral clustering
- gram matrix
- linear discriminant analysis
- feature extraction
- support vector machine
- pattern recognition
- preprocessing
- similarity measure
- decision trees
- computer vision