四川精神卫生2024，Vol.37Issue(z1)：84-89,6.DOI:10.11886/scjsws20240310003
无序样品聚类分析——基于第三组距离法和类平均法
Cluster analysis of disordered samples:based on the methods of the third set of distances and the average linkage method
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 implementation of SAS calculation methods related to the cluster analysis of disordered samples.The basic concepts included symmetric nominal variables,missing values,matching coefficients,and Hamann coefficients.The calculation method involved the third set of distance method(8 in total)and average linkage method.The data in the two examples were"survey data reflecting the air pollution conditions in 39 cities in the United States"and"population growth and decline data of stem borer in a certain area from 1962 to 1988".Using SAS software,Cluster analysis of disordered samples was performed on the data from two instances,and the SAS output results were explained.关键词
对称名义变量/匹配系数/海曼系数/谱系聚类分析/树形图Key words
Symmetric nominal variables/Matching coefficient/Hamann coefficient/Hierarchical 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——基于第三组距离法和类平均法[J].四川精神卫生,2024,37(z1):84-89,6.
