摘要
基于DF关系,给出了DF关系截矩阵的定义,以及由DF相似关系构造DF等价关系的方法,并在此基础上结合数据挖掘中的分类技术,提出了一种面向DF数据的聚类算法,该算法的提出不但能拓宽聚类对象的范围,而且更符合实际需求。最后给出了运用该算法的示例。
Based on dynamic fuzzy relation,the concept of cut-matrix and a method of building dynamic fuzzy equivalence relation according to dynamic fuzzy similarity relation are presented.On such basis,combining classification technology in data mining,a clustering algorithm for dynamic fuzzy data is proposed.Using this algorithm,not only widen the range of clustering objects,but also can meet actual requirement.At last,an example is presented to illustrate the proposed algorithm.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第26期138-140,146,共4页
Computer Engineering and Applications
基金
国家自然科学基金No.60775045
江苏省自然科学基金No.BK2005027~~
关键词
动态模糊集
动态模糊相似关系
动态模糊等价关系
聚类算法
dynamic fuzzy set
dynamic fuzzy similarity relation
clynamic fuzzy equivalence relation
clustering algorithm
