聚类分析和判别分析是应用最为广泛的重要的多元统计方法,重点在于前期分类指标的建立。本文研究聚类分析在股票市场的应用,并使用判别分析来帮助理解组间差异或正确地将个体归类进行判别。得出一些有意义的结论的同时进一步加以讨论。 Clustering analysis and discriminant analysis are the most widely used and important multivariate statistical methods, with emphasis on the establishment of pre-classification indicators. This article studies the use of cluster analysis in stock markets and uses discriminant analysis to help understand differences between groups or to correctly classify individuals. Come to some meaningful conclusions at the same time to be further discussed.