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tezhentiqu

于 2011-12-15 发布 文件大小:218KB
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  论文使用一种经典的特征提取方法—主成分分析法(PCA)进行特征提取,其基本思想是降维。降维后的数据除了计算工作量减少之外不会减少原始数据所包含的有效信息量。(This paper use a classical method for feature extraction—Principal Component Analysis(PCA)with the basic idea of dimensionality reduction(it still contains all valid information).)

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