Description: KPCA program, I graduated from the design process for dimension reduction, monitoring Te process failure, error diagnosis rate is low.
- [featureselectionandextractionzch] - writing for Feature Extraction source, u
- [KPCAandPCA] - contain pca and kpca algorithm, is very
- [huamo] - sliding control of a Matlab procedures,
- [Ch18] - Wavelet analysis theory and realize MATL
- [KPCA] - A good PCA procedures. It can be used fo
- [Duffingorbit] - Duffing oscillator with mechanical failu
- [KPCA_SVM_Train] - KPCA and SVM fault diagnosis method comb
- [ltsa] - A non-linear dimensionality reduction of
- [dimreduce] - Summary of general dimension reduction m
- [PCAexample] - KPCA procedure very well with the hope t
File list (Check if you may need any files):
kpca程序\kpca\pca\Contents.m
........\....\...\ecov.m
........\....\...\kernelpca.m
........\....\...\kernelpca.m~
........\....\...\kpcademo1.m
........\....\...\kpcademo1.m~
........\....\...\pcademo1.m
........\....\...\pcaexam1.mat
........\....\...\pkernelpca.m
........\....\...\spca.asv
........\....\...\spca.m
........\....\...\T.mat
........\....\pca
........\kpca
kpca程序
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