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成分分析

于 2020-06-17 发布
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说明:  主成分分析(PCA)是多元统计分析中用来分析数据的一种方法,它是用一种较少数量的特征对样本进行描述以达到降低特征空间维数的方法,(Principal Component Analysis (PCA) is a method used to analyze data in multivariate statistical analysis. It uses a small number of features to describe samples in order to reduce the dimension of feature space.)

文件列表:

kinetics, 0 , 2019-08-12
kinetics\kinetics.m, 443 , 2019-08-12
kinetics\kinetics.zip, 391 , 2019-08-12
成分分析, 0 , 2019-08-12
成分分析\Efficient kNN Classification With Different Numbers of Nearest Neighbors.pdf, 2842681 , 2019-07-27

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