CAJ | 학술논문

针时k-means算法存在的不足,提出了一种改进算法.针对目前供电企业CRM系统的特点提出了用聚类分析方法进行客户群细分模型设计,通过实验验证了本文提出的k-means改进算法的高效性.实验结果证明聚类分析算法在CRM中实施类分析方法的客户群细分过程模型是行之有效的.
침시k-means산법존재적불족,제출료일충개진산법.침대목전공전기업CRM계통적특점제출료용취류분석방법진행객호군세분모형설계,통과실험험증료본문제출적k-means개진산법적고효성.실험결과증명취류분석산법재CRM중실시류분석방법적객호군세분과정모형시행지유효적.
The article proposes an improved method to overcome shortcomings of the traditional k-means algorithm. This method ex-plores the unique features of the CRM system in power supply enterprise and applies clustering analysis techniques for customer classification. The result shows that the improved k-means method is efficient and provides empirical evidence that proves the effec-tiveness of clustering analysis techniques for customer classification in the CRM system.