Candidates for Synergies: Linear Discriminants versus Principal Components.
Ramana VinjamuriVrajeshri PatelMichael PowellZhi-Hong MaoNathan E. CronePublished in: Comput. Intell. Neurosci. (2014)
Keyphrases
- principal components
- linear discriminants
- dimensionality reduction
- principal component analysis
- feature selection
- multivariate data
- hyperplane
- kernel space
- principal components analysis
- face recognition
- high dimensional data
- feature set
- feature extraction
- high dimensionality
- independent component analysis
- text categorization
- feature ranking
- nearest neighbor
- spectral data
- pattern recognition