基于K-means聚类的奥林匹克获奖研究分析  

Analysis of Olympic Award Based on K-means Clustering

作　　者：吴会会 袁哲 惠小健[1] 章培军[1] 卢鸿艳 WU Huihui;YUAN Zhe;XI XiaoJian;ZHANG Peijun;LU Hongyan(School of Computer Science,Xijing University,Xi'an 710123,China)

机构地区：[1]西京学院计算机学院,陕西西安710123

出　　处：《现代信息科技》2023年第15期136-140,共5页Modern Information Technology

基　　金：西京学院科研基金资助项目(XJ210104);西京学院横向课题(2022610002011135);西京学院精品课程《高等数学A2》建设(XJJPKC22007);陕西省自然科学基础研究计划项目(2022JM-029,2023-JCQN-0090)。

摘　　要：奥林匹克运动会是由国际奥林匹克委员会主办的每隔4年举行的一届国际性的运动会,各个国家获得的奖牌总数也直接反映了该国的体育建设水平与人民的精神文明程度。文章根据国家统计局、联合国相关机构、国际奥委会公布的数据,以参赛员的性别、年龄、身高、体重作为因变量,是否获奖作为自变量建立决策树和K-means聚类,对是否获得奖牌进行预测,并对其进行分析。The Olympic Games is an international games held every four years sponsored by the International Olympic Committee,and the total number of medals won by each country also directly reflects the country's level of sports construction and the spiritual civilization of the people.Based on the data released by the National Bureau of Statistics,relevant agencies of the United Nations and the International Olympic Committee,this paper establishes a decision tree and K-means clustering based on the gender,age,height and weight of the participants as the dependent variables,and whether or not to win the medal as the independent variable,and forecasts whether to win the medal and analyzes it.

关 键 词：奥林匹克 K-MEANS聚类 预测 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]