四川精神卫生2024，Vol.37Issue(z1)：60-65,6.DOI:10.11886/scjsws20240110004
无序样品聚类分析——基于马氏和中间距离法
Cluster analysis of disordered samples:based on the methods of Mahalanobis distance and the intermediate distance
胡纯严 1胡良平2
作者信息
- 1. 军事科学院研究生院,北京 100850
- 2. 军事科学院研究生院,北京 100850||世界中医药学会联合会临床科研统计学专业委员会,北京 100029
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摘要
Abstract
The purpose of this article was to introduce the basic concepts,calculation methods,two examples and the calculation methods using SAS related to the cluster analysis of disordered samples.Basic concepts included the definition of distance between samples,the definition of classes,and the characteristics of classes.The calculation method involved the Mahalanobis distance calculation formula and the intermediate distance calculation formula.The data in the two examples were"survey data reflecting air pollution conditions in 39 cities in the United States"and"measurement results of the percentage content of 16 fatty acids in 24 strains".With the help of SAS software,cluster analysis of disordered samples was performed on the data in the two examples,and the explanation of the SAS output results was given.关键词
无序样品/马氏距离/中间距离/聚类分析/树形图Key words
Disordered samples/Mahalanobis distance/Intermediate distance/Cluster analysis/Dendrogram分类
医药卫生引用本文复制引用
胡纯严,胡良平..无序样品聚类分析——基于马氏和中间距离法[J].四川精神卫生,2024,37(z1):60-65,6.
