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论方向数据的聚类分析
引用本文:陈峰,祝绍琪.论方向数据的聚类分析[J].南通医学院学报,1996,16(4):460-463.
作者姓名:陈峰  祝绍琪
作者单位:华西医科大学
基金项目:国家自然科学基金,高等学校博士学科点专项基金
摘    要:方向数据的聚类分析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。本文借助线性有序优分割法的基本思想,导出方向数据的最优分割类法;借助条件系统聚类性的基本思想,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。

关 键 词:方向数据  聚类分析  最优分割聚类法  条件聚类法

STUDY ON CLUSTER ANALYSIS FOR DIRECTIONAL DATA
Chen Feng,Zhu Shaoqi,Yang Shuqing.STUDY ON CLUSTER ANALYSIS FOR DIRECTIONAL DATA[J].ACTA Academiae Medicinae Nantong,1996,16(4):460-463.
Authors:Chen Feng  Zhu Shaoqi  Yang Shuqing
Abstract: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.
Keywords:directional data  cluster analyses  optimum cutting  conditional cluster analysis
本文献已被 CNKI 维普 等数据库收录!
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