Abstract: The ant-based clustering algorithm is applicated in the data mining community.Due to the disadvantage of the classical algorithm，this paper presents an improved ant colony clustering combination method.The paper introduces K-means to take the ant colony algorithm the pre-computation process.Through K-means，it definites cluster center fastly and sketchily，and takes the starting value using the K-means method result，again executes the ant colony algorithm cluster. It solves the ant colony algorithm for early slow convergence effectively.

摘要： 基于蚁群算法的聚类算法已经在当前的数据挖掘研究中得到应用。针对蚁群聚类算法早期出现的缺点，提出一种蚁群聚类组合方法使其得以改进。改进思路是引入K-means作为蚁群算法的预处理过程。通过K-means快速、粗略地确定聚类中心，利用K-means方法的结果作为初值，再进行蚁群算法聚类。有效地解决了蚁群算法早期收敛过慢等问题。