Abstract: Clustering is a technique for the discovery of data distribution and cryptic data pattern, yet clustering algorithm alone is not always an ideal solution to achieve the expected result in practice. Based on four clustering algorithms, and the accuracy rate, a clustering aggregation integrated with the four algorithms is constructed via estimating weight of analytic hierarchy process, thus a better clustering result is achieved through experiments.