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PCA

于 2012-08-09 发布 文件大小:1KB
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  主成分分析(Principal Component Analysis, 简称PCA)是一种常用的基于变量协方差矩阵对信息进行处理、压缩和抽提的有效方法。 (The principal component analysis (Principal Component Analysis, PCA) is a common covariance matrix of information processing, compression and extraction.)

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