Improvement of variables interpretability in kernel PCA.
Mitja BriscikMarie-Agnès DilliesSébastien DéjeanPublished in: BMC Bioinform. (2023)
Keyphrases
- kernel pca
- kernel methods
- laplacian eigenmaps
- feature space
- kernel principal component analysis
- principal component analysis
- dimensionality reduction
- gram matrix
- kernel function
- spectral clustering
- face recognition
- input space
- feature extraction
- kernel matrix
- variable selection
- linear discriminant analysis
- machine learning
- feature vectors
- data sets