The use of Kernel PCA in evolutionary optimization for computationally demanding engineering applications.
Dimitrios KapsoulisKonstantinos TsiakasVarvara AsoutiKyriakos C. GiannakoglouPublished in: SSCI (2016)
Keyphrases
- computationally demanding
- evolutionary optimization
- kernel pca
- multi objective
- kernel methods
- principal component analysis
- laplacian eigenmaps
- kernel principal component analysis
- spectral clustering
- genetic algorithm
- feature space
- kernel function
- input space
- face recognition
- dimensionality reduction
- feature extraction
- fuzzy modeling
- support vector machine
- kernel matrix
- clustering method
- fuzzy clustering
- pattern recognition
- neural network