基于聚类方法的航空公司客户价值分析  

Customer value analysis of airlines based on clustering method

作　　者：许超 XU Chao(Heilongjiang Bayi Agricultural University,Daqing,Heilongjiang 163000,China)

机构地区：[1]黑龙江八一农垦大学,黑龙江大庆163000

出　　处：《计算机应用文摘》2023年第12期169-171,共3页Chinese Journal of Computer Application

摘　　要：随着社会的发展,互联网技术融入各个行业,目前很多公司和企业的营销重点不仅是保证产品质量,还更加注重以客户为中心,以满足客户的需求,将客户作为公司实现利润增长的重要目标。文章主要根据客户细分的方法,利用K-Means聚类、DBSCAN聚类、Mean-Shift聚类分别对客户进行细分。With the development of society and the integration of internet technology into various industries,the marketing focus of many companies and enterprises is not only on ensuring product quality,but also on putting customers at the center to meet their needs,making customers an important goal for companies to achieve profit growth.The article mainly uses K-Means clustering,DBSCAN clustering,and Mean-Shift clustering to segment customers based on customer segmentation methods.

关 键 词：航空公司 客户价值分析 K-MEANS聚类 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]