计算机工程与应用2011，Vol.47Issue(2)：5-7,3.DOI:10.3778/j.issn.1002-8331.2011.02.002
基于模糊集的蚁群空间聚类方法研究
Ant colony based on fuzzy set of spatial clustering
摘要
Abstract
Various clustering methods based on the behavior of real ants are proposed. In this paper,a new algorithm is developed which the behavior of the artificial ants is governed by fuzzy set. The average distance is defined between objects,and the average distance is taken as the similarity of the object domain. Similarity between objects is mapped a domain of fuzzy sets by membership function. By the given confidence level,fuzzy sets will be separated into universal set. The universal set will decide that ants pick up or put down the object. To mine the actual measurement data for the data source,the basic ant colony clustering algorithm and the fuzzy ant based spatial clustering algorithm are used separately. Experimental results prove that the improved algorithm enhances the clustering effect.关键词
模糊集/蚁群优化/空间聚类Key words
fuzzy set/ant colony/spatial clustering分类
信息技术与安全科学引用本文复制引用
陈应显..基于模糊集的蚁群空间聚类方法研究[J].计算机工程与应用,2011,47(2):5-7,3.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.50904032) （the National Natural Science Foundation of China under Grant No.50904032）
辽宁省教育厅科学技术研究项目(No.L2010177). （No.L2010177）
