Cluster analysis of disordered samples:based on the methods of the third set of distances and the average linkage method
10.11886/scjsws20240310003
- VernacularTitle:无序样品聚类分析——基于第三组距离法和类平均法
- Author:
Chunyan HU
1
;
Liangping HU
Author Information
1. 军事科学院研究生院,北京 100850
- Publication Type:Journal Article
- Keywords:
Symmetric nominal variables;
Matching coefficient;
Hamann coefficient;
Hierarchical cluster analysis;
Dendrogram
- From:
Sichuan Mental Health
2024;37(z1):84-89
- CountryChina
- Language:Chinese
-
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.
