一维有序样品的条件系统聚类  

The Conditional Hierarchical Clustering of the Ordinal Sample

作　　者：沈毅[1] 陈峰[1] 

机构地区：[1]南通医学院,226001

出　　处：《中国卫生统计》2001年第1期6-8,共3页Chinese Journal of Health Statistics

基　　金：国家自然科学基金资助项目

摘　　要：目的　介绍并讨论一种适用于一维有序样品的条件系统聚类方法。方法　对有序样品 ,首先构造条件矩阵 ,然后把条件矩阵和距离矩阵相结合 ,构成条件距离矩阵 ,并采用系统聚类的思维方法进行聚类。用该方法对一组数据进行聚类 ,还进行了模拟研究 ,并与最优分割法作了比较。结果　该方法操作简单、计算方便 ,并能够得到较稳定的聚类结果。结论　一维有序样品的条件系统聚类法理论朴素、实践方便 ,是一种较好的可用于有序样品聚类的方法。Objective The conditional hierarchical clustering for 1-dimensional(1-d) ordinal data was discussed.Methods Because the individuals are ordered in 1-d,the conditional matrix was constructed with all elements in the second-diagonal are 1 and the others are 0.Distance matrix of individuals defined by some particular definition.Then the conditional-distance matrix was made for the hierarchical clustering by connecting the conditional matrix and distance matrix.This method was called 1-dimentsional conditional hierarchical clustering.An example was illustrated by this method and a Monte Carol study showed that method was feasible and robust.Results Compared with the least-squares partition,this method is easy to understand,easy to practice and easy to compute.It also can give us a stable result.Conclusion Because of the austere theory,the simple thought and the convenient application,it's a good method for the 1-d ordinal data.

关 键 词：条件系统聚类法 有序样品 条件距离矩阵 医用数理统计 

分 类 号：R195[医药卫生—卫生统计学]