摘要
该文给出了数据挖掘中的层次聚类算法在羽毛球技战术分析中的一个应用。根据羽毛球技战术采集系统所采集的技术,动态产生技术路线,然后采用数据挖掘中改进了的AGNES层次聚类算法,对动态产生的技术路线进行数据挖掘。本文对数据预处理过程中的技术路线进行排序,以及数据的合并进行了研究和探讨。
An application of data mining hierarchical clustering algorithms to technical-tactics analysis of badminton match was proposed in this paper. According to the technique which was gathered by technical-tactics gathering system of badminton match, and technical route which was dynamically produced, we could dig out significative information through them with an improved AGNES hierarchical clustering algorithms. This paper focused on sorting dynamically technical routes in data preprocessing and merging data.
出处
《电脑知识与技术》
2009年第11X期9343-9345,共3页
Computer Knowledge and Technology
基金
国家科技支撑计划"科技奥运专项"(2006BAK12B03)
关键词
数据挖掘
层次聚类
AGNES
动态技术路线
技战术分析
data mining
hierarchical clustering
AGNES
dynamic technical route
technical-tactics analysis
