Abstract: Clustering algorithm has a wide application in many fields，for example data analysis and data dig.In this paper we research data clustering and the application in image color segmentation using Quantum-behaved Particle Swarm Optimization（QPSO）.We propose new metric to replace the Euclidean norm in clustering procedures and QPSO clustering algorithm based on the PSO clustering algorithm.We show the corresponding experiment results and discuss the clustering algorithm.

摘要： 聚类算法在数据分析、数据挖掘等许多地方有广泛的应用，探索了基于QPSO的数据聚类及其在图像分割中的应用，提出了一种新的距离度量的聚类算法，在分析PSO聚类算法的基础上提出了QPSO聚类算法，给出了相应的实验结果和算法讨论。