文献类型：会议论文

英文题名：A Modified Clustering Method with Fuzzy Ants

作者：Chen, Jianbin[1];Fang, Deying[1];Xue, Yun[1]

第一作者：陈建斌

通讯作者：Chen, JB[1]

机构：[1]Beijing Union Univ, Coll Business, Beijing 100025, Peoples R China

第一机构：北京联合大学商务学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Business, Beijing 100025, Peoples R China.|[1141721]北京联合大学商务学院;[11417]北京联合大学;

会议论文集：5th IFIP International Conference on Intelligent Information Processing

会议日期：OCT 19-22, 2008

会议地点：Beijing, PEOPLES R CHINA

语种：英文

外文关键词：Data mining; Fuzzy ants; clustering; algorithm

摘要：Ant-based clustering due to its flexibility, stigmergic and self-organization has been applied in variety areas from problems arising in commerce, to circuit design, and to text-mining, etc. A modified clustering method with fuzzy ants has been presented in this paper. Firstly, fuzzy ants and its behavior are defined; secondly, the new clustering algorithm has been constructed based on fuzzy ants. In this algorithm, we consider multiple ants based on Schockaert's algorithm. This algorithm can be accelerated by the use of parallel ants, global memory banks and density-based 'look ahead' method. Experimental results show that this algorithm is more efficient to other ant clustering methods.