关键词: 基因表达数据, 聚类, 基于量子行为的粒子群优化（QPSO）算法

Abstract: It proposes quantum-behaved particle swarm optimization QPSO algorithm on the basis of the PSO algorithm and applies it to a data set on gene expression.The proposed clustering algorithm partitions the [N] patterns of the gene expression dataset into user-defined K categories to minimize the fitness function of total within-cluster variation.Based on the merits of K-means algorithm and using K-means clustering to seed the initial swarm，combing QPSO，PSO to cluster data，it proposes KQPSO，KPSO algorithm.The experiment results on four gene expression data sets using K-means，PSO，QPSO，KPSO，KQPSO five clustering algorithms show that the QPSO-based clustering algorithm has a good performance in gene expression data analysis.

Key words: gene expression data, clustering, Quantum-behaved Particle Swarm Optimization（QPSO） algorithm