Description: Nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
- [IsomapR1] - based on geodesic distance invariance of
- [IntroMatlab] - MATLAB toolbox tutorial psl and pca tool
- [PCA] - This procedure is used PCA method for fa
- [PCA1] - PCA algorithm, for data dimensionality r
- [maxent-2.5.1] - Maximum Entropy classifier, the realizat
- [lpp] - Lpp nonlinear dimensionality reduction m
- [Bspline] - 3 bspline wavelet program,using matlab l
- [gentleBoost] - The current popular one of machine learn
- [pcafacerecognition] - pca face recognition
- [PCA] - PCA can be optimized for data dimensiona
File list (Check if you may need any files):
pca.m