| 胡纯严,胡良平.无序样品聚类分析——基于兰氏和最长距离法[J].四川精神卫生杂志,2024,37(S1):54-59.Hu Chunyan,Hu Liangping,Cluster analysis of disordered samples： based on the methods of Lance-Williams distance and the longest distance[J].SICHUAN MENTAL HEALTH,2024,37(S1):54-59 |
| 无序样品聚类分析——基于兰氏和最长距离法 |
| Cluster analysis of disordered samples： based on the methods of Lance-Williams distance and the longest distance |
| 投稿时间：2024-01-10 |
| DOI：10.11886/scjsws20240110003 |
| 中文关键词: 无序样品 兰氏距离 最长距离 聚类分析 树形图 |
| 英文关键词:Disordered samples Lance-Williams distance Longest 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、两个实例以及使用SAS实现计算的方法。基本概念包括数据变换的必要性、中心化变换、标准化变换、尺度变换和对数变换；计算方法涉及兰氏距离计算公式和最长距离计算公式；两个实例分别是“1982年我国16个地区农民支出情况的调查数据”和“13个运动项目在两项定量指标上的测定值”；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 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 the necessity of data transformation， centering transformation， standardization transformation， scaling transformation and logarithmic transformation. The calculation method involved Lance-Williams distance calculation formula and the longest distance calculation formula. The data in the two examples were "survey data on farmers' expenditure in 16 regions of China in 1982" and "measured values of 13 sports events on two quantitative 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. |
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