文件名称:mine-fisher-pca
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- 上传时间：2014-11-11
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PCA分类，用于较好的去噪降维，matlab的各种自适应仿真分析。。自适应信息处理的算法、方案繁多，究其实质可归纳为遵循最小均方误差(Least Mean Square，LMS)准则及最小二乘-PCA classification for better denoising dimensionality reduction, a variety of adaptive matlab simulation analysis. . Adaptive information processing algorithms, programs many, their essence can be summarized as follows the minimum mean square error (Least Mean Square, LMS) and the least squares criterion
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下载文件列表
mine-fisher-pca/
mine-fisher-pca/FEMALE.TXT
mine-fisher-pca/Fisher.m
mine-fisher-pca/Kmean.m
mine-fisher-pca/LDA.m
mine-fisher-pca/main.fig
mine-fisher-pca/main.m
mine-fisher-pca/MALE.TXT
mine-fisher-pca/minerrorBayers.m
mine-fisher-pca/Parzen.m
mine-fisher-pca/pcafisher.m
mine-fisher-pca/riskBayer.m
mine-fisher-pca/test1.txt
mine-fisher-pca/FEMALE.TXT
mine-fisher-pca/Fisher.m
mine-fisher-pca/Kmean.m
mine-fisher-pca/LDA.m
mine-fisher-pca/main.fig
mine-fisher-pca/main.m
mine-fisher-pca/MALE.TXT
mine-fisher-pca/minerrorBayers.m
mine-fisher-pca/Parzen.m
mine-fisher-pca/pcafisher.m
mine-fisher-pca/riskBayer.m
mine-fisher-pca/test1.txt
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