Description: Principal component analysis (Principle Component Analysis, PCA) is the most commonly used feature extraction methods are widely applied to various fields, such as image processing, comprehensive evaluation, speech recognition, fault diagnosis.
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File list (Check if you may need any files):
| Filename | Size | Date |
|---|
| PCA | KPCA完整程序\PCA | KPCA完整程序\asdf.m |
| ................\................\PCA_model.m |
| ................\................\testPCA.m |
| ................\................\tztq.m |
| ................\PCA | KPCA完整程序 |
| ................\PCA.doc |
| ................\第五章作业.pdf |
| ................\主成份分析的应用.ppt |
| ................\主成分分析与因子分析详细的异同和SPSS软件.rar |
| ................\PCA | KPCA完整程序.rar |
| PCA | KPCA完整程序 |
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