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数值分类的几种多元统计方法比较
宋世德1, 周静芋1
西北农业大学 基础科学系
摘要:
从理论和实际应用两个方面对用主成分分析、因子分析和对应分析作数值分类工作进行比较。描述了各分类方法的优缺点及其在实际应用中应注意的问题,并结合实例分析对诸方法的分类结果进行了讨论。
关键词:  数值分类,主成分分析,因子分析,对应分析
DOI:
分类号:O212.4
基金项目:
Comparison of Some Multivariate Statistical Methods Used in Numerical Taxonomy
Abstract:
The principle component analysis, factor analysis and correspondence analysis used in numerical taxonomy are compared both theoretically and practically. The advantage and disadvantage of all the methods and the problems existing in practice were discussed.Then, the results of the numerical taxonomy were dealt with practically.
Key words:  numerical taxonomy,principal component analysis,factor analysis,correspondence analysis