Abstract
In order to solve the problems more efficient, it is necessary for us to compare the statistical analysis methods. Firstly, this paper compares two common dimensionality reduction methods- principal component analysis and factor analysis. Then four discriminant analysis methods are compared in applicability. It is a try of helping to clearly choose the suitable statistical analysis methods.
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