摘要
本文提出聚类分析中确定聚类割点的∧方法。从最后一步并类开始,运用Wilks(∧)统计量依次进行均值向量间的差异显著性测验,在拒绝各组间无显著盖异的假设后,将那时的分类数定为最小合理分类数t。从获得t值的那一步起。依次对上一步并类涉及的二类进行均值向量的显著性测验,在接受无显著差异假设时,将该二组合并后得到的总类数定为最大合理分类数T。因而,合理分类数集为{t,t+1,…,T},在合理分类数集中可进一步寻求最优分类数R。
An A method of determining cutting point for cluster tree in multivariate cluster analysis is proposed in this paper. The minimum reasonable number of groupst is obtained after refusing null-hypothesis among means of groups by using Wilks' ∧ test starting from the last cluster step. Significance tests of mean vecter are also carried out between two groups concerned starting from minimum reasonable grouping number. The toatl number of groups after accepting null-hypothesis between the two groups and merging them together is defined as the maximum number of groups T. And then, the reasonable grouping number set is {t, t+1,... T}. The best number of groups R can be obtained from the set {t, t+1,...T} according to some rules proposed in this paper.
出处
《南京农业大学学报》
CAS
CSCD
北大核心
1991年第2期29-32,共4页
Journal of Nanjing Agricultural University
基金
国家自然科学基金
关键词
聚类分析
割点
合理分类
作物
cluster analysis
cutting point
reasonable grouping number
