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基于区间直觉模糊集的C均值聚类算法
引用本文:张宏威,王周敬. 基于区间直觉模糊集的C均值聚类算法[J]. 计算机应用与软件, 2011, 28(2): 122-124,162
作者姓名:张宏威  王周敬
作者单位:厦门大学信息科学与技术学院,福建,厦门,361005
基金项目:福建省自然科学基金(2010J01362); 厦门大学国家“211”(三期):立体通信和信息集成智能技术
摘    要:针对区间直觉模糊集(IVIFS)的聚类问题,提出了基于IVIFS的C均值聚类算法.算法首先应用IVIFS的欧氏距离,构造了聚类的目标函数;然后根据拉格朗日乘数法推导出聚类的迭代公式,得到IVIFS聚类算法;此外,还提出一种IVIFS聚类的有效性函数,并将此函数和聚类结合,给出可以确定最佳聚类类别数的聚类流程;最后通过实...

关 键 词:区间直觉模糊集  模糊聚类  目标函数  模糊C均值

C-MEANS CLUSTERING ALGORITHM BASED ON INTERVAL-VALUED INTUITIONISTIC FUZZY SETS
Zhang Hongwei,Wang Zhoujing. C-MEANS CLUSTERING ALGORITHM BASED ON INTERVAL-VALUED INTUITIONISTIC FUZZY SETS[J]. Computer Applications and Software, 2011, 28(2): 122-124,162
Authors:Zhang Hongwei  Wang Zhoujing
Affiliation:Zhang Hongwei Wang Zhoujing(College of Information Science and Technology,Xiamen University,Xiamen 361005,Fujian,China)
Abstract:Aiming at the clustering problems of IVIFS,the C-means clustering algorithm based on IVIFS is proposed.By means of the Euclidian distance,the objective function of clustering is constructed.Next the iterative formula is deduced according to Lagrange multiplier method,then IVIFS clustering algorithm is obtained.Moreover an IVIFS clustering validity function is defined to confirm the best clustering class number's clustering procedure.Finally,experiment results show that the method can not only acquire the be...
Keywords:Interval-valued intuitionistic fuzzy sets(IVIFS) Fuzzy clustering Objective function Fuzzy C-means  
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