Kernel Principal Component Analysis for Fuzzy Point Data Set.
Li-Li WeiChong-Zhao HanPublished in: FSKD (2) (2007)
Keyphrases
- kernel principal component analysis
- data sets
- feature extraction
- kernel pca
- discriminant analysis
- kernel function
- principal components
- principal component analysis
- fuzzy rules
- kernel methods
- high dimensional
- training set
- preprocessing
- linear discriminant analysis
- training data
- membership functions
- feature space
- input space
- kernel matrix
- machine learning
- support vector machine svm
- feature vectors
- similarity measure
- low rank
- gabor wavelets
- face recognition