中文摘要：

在介绍客户行为分析一般过程的基础上，提出了一种实现客户行为分析的聚类算法．该算法通过构造模糊相异矩阵，将高维、海量的客户消费模式映射到二维平面，进一步利用遗传算法（GA）进行优化，快速而灵活地实现客户行为的聚类分析，发现大客户．

英文摘要：

Customer behavior analysis is one of the most popular subjects in Customer Relationship Management （CRM）. A clustering algorithm of realizing the customer behavior analysis is presented based on introducing the general process of customer behavior analysis. In the presented clustering algorithm, the fuzzy dissimilarity matrix is constructed and the high dimensional and large amount consumption modes of the customer are mapped to the two - dimensional plane. Furthermore, the clustering algorithm is optimized by genetic algorithm （GA） in order to implement the customer behavior analysis and find the master customer flexibly and quickly.