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四、主成分分析的步骤下面介绍一个实例来说明如何进行主成分分析。 1980年广东十个地区:绍关、五华、梅县、肇庆、揭西、汕头、惠阳、东莞、广州和佛山分别种植了36个水稻品种,并记录了水稻品种的五个指标:X_1全生育期日数,X_2为千粒重,X_3为穗粒重,X_4为出苗一抽穗期日数,X_5为株高。现希望通过主成分分析对于10个水稻栽培地区进行排序和分类。主成分分析步骤为:
Fourth, the steps of principal component analysis Here’s an example to illustrate how to do the principal component analysis. Sixteen rice cultivars were planted in ten districts of Guangdong in 1980: Shaoguan, Wuhua, Meixian, Zhaoqing, Jiexi, Shantou, Huiyang, Dongguan, Guangzhou and Foshan. Five indicators of rice varieties were recorded: The number of days, X_2 for the 1000-grain weight, X_3 for the grain weight, X_4 for the emergence of a heading date, X_5 for the plant height. It is hoped that the principal component analysis can be used to rank and classify 10 rice cultivation areas. The principal component analysis steps are: