Research on the Principal Component Analysis in Quality Assessment and Management of College Students

Abstract

In this paper, the author evaluates the overall quality of students through Principal Component Analysis (PCA) which started from the correlation matrix of the sample, randomly selected 20 students from Agricultural University of Hebei as indicators to analysis, eventually, it reached a four reflect the overall quality of students and the principal component of PCA expression. It shows that the PCA method is more scientific than the traditional methods and practical for students to comprehensive scientific evaluation of the quality of these together provide a theoretical basis.