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- W2363866522 abstract "Principal component analysis(PCA) is a technique for linearly compressing multidimensional data into lower dimensions with minimal loss of information.In this paper,principal component analysis is used to the comprehensive evaluation on quality in Chinese Wolfberry in different regions.And then we can gain the scientific places on quality in different regions according to the general score.It reflects the characteristics on trace elements in Chinese wolfberry in different regions in all sides objectively." @default.
- W2363866522 created "2016-06-24" @default.
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- W2363866522 date "2007-01-01" @default.
- W2363866522 modified "2023-09-24" @default.
- W2363866522 title "Comprehensive Evaluation on Quality in Chinese Wolfberry in Different Regions" @default.
- W2363866522 hasPublicationYear "2007" @default.
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