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无序样品聚类分析——基于兰氏和最长距离法

胡纯严 胡良平

四川精神卫生2024,Vol.37Issue(z1):54-59,6.
四川精神卫生2024,Vol.37Issue(z1):54-59,6.DOI:10.11886/scjsws20240110003

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

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 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.

关键词

无序样品/兰氏距离/最长距离/聚类分析/树形图

Key words

Disordered samples/Lance-Williams distance/Longest distance/Cluster analysis/Dendrogram

分类

预防医学

引用本文复制引用

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,2024,37(z1):54-59,6.

四川精神卫生

OACSTPCD

1007-3256

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