The Geometric Interpretation of Correspondence Analysis
本文回顾了对应分析的几何原理及其解释，并讨论了该方法在多元分类数据等场景中的扩展，适合需要理解对应分析图形化结果的统计或数据科学研究者。
Abstract Correspondence analysis is an exploratory multivariate technique that converts a data matrix into a particular type of graphical display in which the rows and columns are depicted as points. The method has a long and varied history and has appeared in different forms in the psychometric and ecological literature, among others. In this article we review the geometry of correspondence analysis and its geometric interpretation. We also discuss various extensions of correspondence analysis to multivariate categorical data (multiple correspondence analysis) and a variety of other data types.