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本文通过对NBA球员的场上数据进行聚类分析,把球员分成4类,再结合球员的薪酬水平进行分类,对球员进行综合评价。运用多元统计分析知识,使用聚类分析方法,利用spss统计软件,来进行分析,最后得出结论:球队在选择球员时应注意超值球员的挖掘和对低能球员的排除。
This article carries on the cluster analysis to the NBA player’s field data, divides the player into 4 kinds, then classifies with the player’s salary level, carries on the comprehensive appraisal to the player. Using multivariate statistical analysis of knowledge, the use of cluster analysis methods, the use of spss statistical software to analyze, the final conclusion: the team in the selection of players should pay attention to the value of the excavated players and exclusion of low-energy players.