Abstract: Clustering analysis is an important technique of data mining.It is a division of data into groups of similar objects，which is widely used in many fields of engineering and technology.Cellular ant algorithm is a new optimization algorithm which introduces the concept of neighborhood and the rules of cellular automata into the basic ant algorithm.Cellular ant algorithm uses both the evolutionary rule of cellular in cellular space and the characteristics of ant colony optimization.Based on some characteristics of clustering analysis，this paper provides cellular ant algorithm for clustering analysis.The result of the experiment demonstrates that the proposed algorithm has better clustering results in performance.