电子科技2016，Vol.29Issue(1)：29-32,4.DOI:10.16180/j.cnki.issn1007-7820.2016.01.008
基于混合聚类算法的客户细分策略研究
Customer Segmentation Strategy Based on Hybrid Clustering Algorithm
摘要
Abstract
An improved algorithm is put forward to fuse the hierarchical clustering method and the K -means clustering method to solve both the poor scalability of the former and the sensitivity to the initial clustering center of the latter.The computing complexity analysis of the improved algorithm and the test data of UCI database testing re -sults show that the hybrid clustering algorithm increases the sample clustering accuracy to 94%with a higher efficien-cy and better practicability .In addition , this algorithm is applied to the car sales company in the management of customer segmentation , where the differential is obtained obviously of customer segmentation categories , showing that the improved algorithm has higher detection rate and stronger interpretation ability on customer behaviors .关键词
层次聚类法/K-means算法/混合聚类算法/客户细分/汽车销售Key words
hierarchical clustering/K-means algorithm/hybrid clustering algorithm/customer segmentation/auto sale分类
信息技术与安全科学引用本文复制引用
王虹,孙红..基于混合聚类算法的客户细分策略研究[J].电子科技,2016,29(1):29-32,4.基金项目
国家自然科学基金资助项目(61170277 （）
61472256) （）
上海市教委科研创新重点基金资助项目(12zz137) （12zz137）
沪江基金资助项目(C14002). （C14002）
