摘要
方向数据的聚类分析法对与疾病的时间聚集性进行分析、季节分层分类等有极其重要的意义。本文借助线性有序数据最优分割法的基本思想，导出方向数据的最优分割聚类法；借助条件系统聚类法的基本思想，导出方向数据的条件聚类法；同时又提出了两种简捷法。并对４种方法的优缺点进行评价，讨论它们之间的关系。
Cluster analysis of directional data is important to temporal clustering analysis of disease and stratification of season.This paper suggested a set of methods includes the method of optimum cutting with the similar thinking of optimum cutting for linear data, the one of conditional cluster analysis with the same thinking of conditional cluster analysis for linear data,and two simple ones.The advantage and disadvantage of them,as well as the relationship between them were discussed in this paper.
出处
《南通医学院学报》
1996年第4期460-463,共4页
ACTA Academiae Medicinae Nantong
基金
国家自然科学基金
高等学校博士学科点专项基金
关键词
方向数据
聚类分析
最优分割聚类法
条件聚类法
directional data
cluster analyses
optimum cutting
conditional cluster analysis
