A Clustering Method for Spatio-temporal Data and Its Application to Soccer Game Records
A Clustering Method for Spatio-temporal Data and Its Application to Soccer Game Records
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DOI：
10.1007/11548669_63
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发表时间：
2005-08
期刊：
影响因子：
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通讯作者：
S. Hirano;S. Tsumoto
中科院分区：
文献类型：
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作者：
S. Hirano;S. Tsumoto
提出了一种从时空数据中发现感兴趣模式的新方法。首先，考虑到多尺度观测的要求，我们使用多尺度匹配对时空序列进行成对比较。接下来，我们使用基于粗糙集的聚类技术来构建序列聚类。在真实足球比赛记录上的实验结果表明，该方法可以发现一些有趣的传球模式，这些模式可能与成功的进球有关。
This paper presents a novel method for finding interesting patterns from spatio-temporal data. First, we perform a pairwise comparison of spatio-temporal sequences using the multiscale matching, taking into account the requirements for multiscale observation. Next, we construct the clusters of sequences using rough-set based clustering technique. Experimental results on real soccer game records demonstrated that the method could discover some interesting pass patterns that may be associated with successful goals.