K-means算法在大学生消费状况分析中的应用  

Application of K-means algorithm in the analysis of consumption status of undergraduates

作　　者：贺玉珍[1] 任姚鹏[1] 

机构地区：[1]运城学院计算机科学与技术系,山西运城044000

出　　处：《计算机时代》2013年第2期19-21,共3页Computer Era

基　　金：山西省重点扶持学科建设项目(20101041)

摘　　要：以运城学院在校大学生为例,对其消费情况进行了抽样调查,并利用K-means算法对调查结果进行了聚类和分析。实验结果表明,每一类学生中影响其消费的因素是有差别的,该分析结果可作为指导各类学生消费的依据。The consumption of undergraduate students in Yuncheng University is investigated in this paper, and the K-means algorithm is used in the survey to carry out clustering analysis. The results show that the factors affecting consumption in each cluster of students are different. The analysis result may serve as a basic guidance of all kinds of students＇ consumption.

关 键 词：数据挖掘 聚类分析 K—means算法 消费调查 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]