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| 无序样品聚类分析——基于第2组距离法和centroid法 |
| Cluster analysis of disordered samples¾Based on the methods of the second set of distances and the centroid methodHu Chunyan1, Hu Liangping1,2* |
| 投稿时间：2024-03-21 修订日期：2024-03-21 |
| DOI： |
| 中文关键词: 距离 相异性 非度量型 谱系聚类分析 树形图 |
| 英文关键词:ed the sec |
| 基金项目: |
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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、两个实例及其用SAS实现计算的方法。基本概念包括相似性、相异性、度量型和非度量型；计算方法涉及度量两个样品之间距离大小的第2组距离法(共12个)和度量两类样品之间距离大小的centroid法(即质心法)；两个实例中的资料分别是“1982年我国16个地区农民生活水平的调查数据”和“13个运动项目在两项定量指标上的测定值”；借助SAS软件,对两个实例中的数据进行了无序样品聚类分析,对SAS输出结果给出了解释。 |
| 英文摘要: |
| The purpose of the paper was to introduce the basic concepts, calculation methods, two examples, and the implementation of SAS calculation methods related to the cluster analysis of unordered samples. The basic concepts included similarity, dissimilarity, metric and non metric type; The calculation methods involved the second set of distance methods (12 in total) for measuring the distance between two samples and the centroid method (i.e. the centroid method) for measuring the distance between two clusters of samples; The data in the two examples were "survey data on the living standards of farmers in 16 regions of China in 1982" and "measurement values of 13 sports projects on two quantitative indicators"; Using SAS software, unordered sample clustering analysis was performed on the data from two instances, and the SAS output results were explained. |
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