关键词: 模糊集, 蚁群优化, 空间聚类

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.

Key words: fuzzy set, ant colony, spatial clustering