计算机应用与软件2011，Vol.28Issue(2)：122-124,162,4.
基于区间直觉模糊集的C均值聚类算法
C-MEANS CLUSTERING ALGORITHM BASED ON INTERVAL-VALUED INTUITIONISTIC FUZZY SETS
摘要
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 best class number, but also improve clustering accuracy.关键词
区间直觉模糊集/模糊聚类/目标函数/模糊C均值引用本文复制引用
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):122-124,162,4.基金项目
福建省自然科学基金(2010J01362) （2010J01362）
厦门大学国家"211"(三期):立体通信和信息集成智能技术. （三期）
