四川精神卫生2024，Vol.37Issue(z1)：48-53,6.DOI:10.11886/scjsws20240110002
无序样品聚类分析——基于欧氏和最短距离法
Cluster analysis of disordered samples:based on the methods of Euclidean distance and the minimum 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 disordered samples and ordered samples,factors affecting distance calculation,clustering rules,hierarchical clustering and its two steps,and the difference between the clustering data and the classification data.The calculation methods involved the Minkowski distance(including Euclidean distance)calculation formula and the minimum distance calculation formula.The data in the two examples were"body morphological data of 16-year-old boys from 27 ethnic minorities in China"and"labor health supervision data of 14 provinces and municipalities in China in 1995".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/欧氏距离/最短距离/聚类分析/树形图Key words
Disordered samples/Euclidean distance/Minimum distance/Cluster analysis/Dendrogram分类
预防医学引用本文复制引用
胡纯严,胡良平..无序样品聚类分析——基于欧氏和最短距离法[J].四川精神卫生,2024,37(z1):48-53,6.
