Description: Great recognition of my work, containing bayers classification, FIsher LDA, PCA, LDA feature extraction, Kmean clustering, Parzen window algorithm, procedure notes, and contains test data
- [My k-nearest neighbor algrithom] - Knn, or k-nearest neighbor algrithom, is
- [KernelFisher] - A nuclear fisher code, also realize from
- [beyes] - For data mining in a small experiment, B
- [KNN] - K nearest neighbor (KNN) of matlab sourc
- [kmean] - Just made out of a K-means clustering al
- [pca] - Pca-based implementation using MATLAB fe
- [AR-matlab] - matlab source code shows that the ar spe
- [ar_dct_kda] - In the AR face database on the DCT trans
- [pCACodes] - Principal component transformation matla
- [flda] - fisher linear discriminant analysis for
File list (Check if you may need any files):
mine\LDA.m
....\pca.m
....\minerrorBayers.m
....\riskBayer.m
....\Parzen.m
....\test1.txt
....\FEMALE.TXT
....\MALE.TXT
....\Kmean.m
....\main.m
....\main.fig
....\Fisher.m
mine
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