| 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].四川精神卫生杂志,2024,37(S1):60-65.Hu Chunyan,Hu Liangping,Cluster analysis of disordered samples： based on the methods of Mahalanobis distance and the intermediate distance[J].SICHUAN MENTAL HEALTH,2024,37(S1):60-65 |
| 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 |
| 投稿时间：2024-01-10 |
| DOI：10.11886/scjsws20240110004 |
| 中文关键词: 无序样品 马氏距离 中间距离 聚类分析 树形图 |
| 英文关键词:Disordered samples Mahalanobis distance Intermediate distance Cluster analysis Dendrogram |
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| 中文摘要: |
| 本文目的是介绍与无序样品聚类分析有关的基本概念、计算方法、两个实例以及SAS实现计算的方法。基本概念包括样品间距离的定义、类的定义、类的特征；计算方法涉及马氏距离计算公式和中间距离计算公式；两个实例分别为“反映美国39座城市空气污染情况的调查数据”和“24种菌株的16种脂肪酸百分含量的测定结果”；借助SAS软件，对两个实例的数据进行了无序样品聚类分析，并对SAS输出结果做出了解释。 |
| 英文摘要: |
| 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. |
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