Cluster analysis of China Unicom mobile phone users based on K-Means algorithm

摘要

In the context of speed increase and fee reduction, as the mobile Internet becomes more and more popular, in order to provide better services to Unicom users effectively and reasonably, this article analyzes the monthly consumption and usage of Unicom mobile phone users through the K-Means algorithm. After preprocessing and feature processing, the current consumption situation of Unicom mobile phone users is classified, and the analysis results are displayed through data. Under the effective guidance of scientific classification, provide theoretical support for the marketing department to carry out marketing. Accurately provide customers with more comprehensive services, save costs, and enhance cruel competitiveness.