Articles Related to Principal component analysis

In this study, five water quality indexes of chemical oxygen demand (COD) in fuxian Lake were analyzed by principal component analysis (PCA) with the help of SPSS software. The results showed that the cumulative variance contribution rate of principal component 1 and principal component 2 extracted from the original data was 83.716%. According to the comprehensive evaluation function, the comprehensive ranking of pollution degree of eight sampling points is obtained. In addition, through the comprehensive evaluation of the water quality of Fuxian Lake, the pollution degree can be classified into clean and still clean.

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The effects of a single food or nutrient on disease may be insufficient and poor, but the cumulative effect is detectable. The purpose of this study is to determine the relationship between dietary patterns and lipid parameters in patients with type 2 diabetes.

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