动态增量聚类算法在足球运动员跑动能力挖掘中的应用  

Application Research of Dynamic Incremental Clustering Algorithm for Running Ability Data Mining of Soccer Training

作　　者：尹倩[1] 张翠[2] YIN Qian ZHANG Cui(Anhui Sports Vocational and Technical College, Hefei Anhui 230051, China College of Economic Technology, Anhui Agricultural University, Hefei Anhui 230011, China)

机构地区：[1]安徽体育运动职业技术学院,安徽合肥230051 [2]安徽农业大学经济技术学院,安徽合肥230011

出　　处：《长沙大学学报》2017年第2期54-57,共4页Journal of Changsha University

基　　金：安徽省高校人文社科重点项目(批准号:SK2015A659)

摘　　要：以聚类技术为手段,对足球运动员跑动类型进行挖掘分析,主要工作包括:针对实际跑动数据动态增加的特点,提出动态增量聚类算法应用在训练跑动能力挖掘研究中;对聚类数据来源和数据类型等进行一系列的处理;对所提出的算法进行了实验和验证.结果表明,此方法符合足球训练技术特点,挖掘出的知识智能且准确,具有一定的应用价值.This paper adopted clustering algorithm to conduct running ability mining of soccer training players. The main contributions included ： according to the dynamic increase characteristics of the actual running data, the incremental clustering algorithm was pro-posed to be applied in running ability data mining ; processed the clustering data sources and data types; implemented and tested the proposed algorithm. The experimental results show that the mining of running ability data when training based on incremental clustering accords with the basic characteristics of soccer training. The method has the virtue of high intelligence and accuracy, and has good ap-plication value.

关 键 词：动态数据集 增量聚类 跑动加速度 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]