Description: Nuclear Fisher discriminant analysis method (KFDA). The basic idea of KFDA method is the first original training data by a nonlinear mapping mapped to a high dimensional (possibly infinite dimensional) feature space F, then F in the implementation of the Fisher discriminant analysis.
- [fs-kfda] - Feature scaling for kernel Fisher discri
- [KLFDA] - Kernel Local Fisher Discriminant Analysi
- [KernelFisher] - A nuclear fisher code, also realize from
- [trainList] - PCA Face Recognition This package implem
- [KLFDA] - This a Fisher linear discriminant analys
- [fisher] - Is the fisher linear classifier function
- [blf-kfda] - University of Chicago students are very
- [LDA_zq] - For feature reduction, feature fusion, c
- [FLDA] - Fisher linear discriminant analysis (FLD
- [flda] - fisher linear discriminant analysis for
File list (Check if you may need any files):
KFDA.m
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