Approximations of the standard principal components analysis and kernel PCA.
Rui ZhangWenjian WangYi-Chen MaPublished in: Expert Syst. Appl. (2010)
Keyphrases
- principal components analysis
- kernel pca
- linear discriminant analysis
- dimensionality reduction
- principal component analysis
- feature extraction
- kernel principal component analysis
- support vector machine
- covariance matrix
- face recognition
- kernel function
- neural network
- feature space
- principal components
- laplacian eigenmaps
- support vector
- discriminant analysis
- manifold learning
- kernel methods
- knn
- dimensionality reduction methods
- multidimensional scaling
- image segmentation