四川精神卫生2024，Vol.37Issue(z1)：66-70,5.DOI:10.11886/scjsws20240110005
无序样品聚类分析——基于斜交空间和平均距离法
Cluster analysis of disordered samples:based on the methods of oblique intersection space distance and the average 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
- 折叠
摘要
Abstract
The purpose of the paper 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 R2 statistic,semi-partial R2 statistic,pseudo F statistic and pseudo t2 statistic.The calculation methods involved the oblique intersection space distance calculation formula and the average distance calculation formula.The data in the two examples were"population growth and decline data of stem borer in a certain area from 1962 to 1988"and"scores of 10 types of red wines on 6 indicators".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/斜交空间距离/平均距离/聚类分析/树形图Key words
Disordered samples/Oblique intersection space distance/Average distance/Cluster analysis/Deridrogram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——基于斜交空间和平均距离法[J].四川精神卫生,2024,37(z1):66-70,5.
