文件名称:pca
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- 上传时间:2015-03-26
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文件大小:214.6kb
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本文实现了众所周知的PCA算法。它返回一个减少号尺寸/特征数据集。折减系数,即多少特征最终/减少集应该包含可由用户选择。
它包含一个面说明数据集(脸。垫)(请参阅自述文件)如何使用。-this implements the well known PCA algorithm. It returns a Dataset with reduced no. of dimensions/features. The reduction factor i.e how many features the final/reduced Dataset should contain can be chosen by the user.
It contains a illustration dataset of faces (face.mat)(please see Read-me file) to show the usage.
它包含一个面说明数据集(脸。垫)(请参阅自述文件)如何使用。-this implements the well known PCA algorithm. It returns a Dataset with reduced no. of dimensions/features. The reduction factor i.e how many features the final/reduced Dataset should contain can be chosen by the user.
It contains a illustration dataset of faces (face.mat)(please see Read-me file) to show the usage.
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下载文件列表
pca/face.mat
pca/featureNormalize.m
pca/main.m
pca/pca.m
pca/Readme.txt
license.txt
pca/featureNormalize.m
pca/main.m
pca/pca.m
pca/Readme.txt
license.txt
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