【摘要】 利用标准化客户数据,确定了聚类相似度公式和评价指标,使用层次凝聚方法和K-平均算法实现了客户的自动聚类;并且在权衡算法效率和聚类精度的基础之上提出了改进的聚类距离公式和K-平均算法,达到了较好效果。更多还原

【Abstract】 The similarity formula of clustering and assessment criteria were determined by using standardized customer data.The automatic clustering of customers was also realized by using the layer-agglomeration approach and K-average approach.On the basis of balancing algorithm efficiency and accuracy of clustering,improved formula of clustering distance and K average algorithm approach were presented.Satisfactory results were achieved.更多还原