K Nearest Neighbor Algorithm for Finding Soccer Talent

نویسندگان

  • Mohammad Bazmara
  • Shahram Jafari
چکیده

In this paper, the nearest neighbor algorithm is used to evaluate soccer talents for suitable positions. In other words, the nearest neighbor algorithm is used as a suitable tool to investigate which position is suitable for a player considering his skills and characteristics. The combination of the information provided by some papers was used to specify the characteristics of each soccer player. Soccer experts have found out that each soccer player must own some characteristics to succeed in his position. The proposed method has some advantages. Firstly, the best player for a special position can be chosen among many candidates. Secondly, this pattern overcomes the selection done by soccer coaches based on their sense and experience, and the need to professional experts and coaches decreases too. Furthermore, this method is so simple to understand, implement and use. The selection process using the proposed method is done using real data and the results show the efficiency and reliability of this method.

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تاریخ انتشار 2013