Editor-in-chief

Prof. Paul Sudnik

Munich University of Applied Sciences, Germany

As the Editor-in-Chief of IJSSH, I invite you to contribute your scholarly work to our esteemed publication. The journal publishes papers which focus on the advanced researches in the field of all aspects of social science and humanity. I'll endeavour to make this journal grow better and hopefully it will become a recognized journal among researchers and scholars in related fields.

Home > Archive > 2017 > Volume 7 Number 12 ( Dec. 2017)
IJSSH 2017 Vol.7(12): 747-750 ISSN: 2010-3646
doi: 10.18178/ijssh.2017.V7.919

Analysis of NBA Team Strength Using Players' Race Data Based on Clustering Method

Mingzhe Xu and Junhui Gao

Abstract—In this paper, we use k-means, a basic type of clustering analysis, to analyze the data downloaded from the official site of NBA. We analyze the relevance between the number of clusters a team has and its winning percentage, the correlation coefficient is not high. However, we find that when the assuming number of clusters is ten, the relevance between the research items is the highest.

Index Terms—NBA, clustering analysis, correlation, statistics, winning percentage.

Mingzhe Xu is with Wuxi Big Bridge Academy, Jiangsu, China.
Junhui Gao is with the American and European International Study Center, Wuxi, China (Corresponding author: Junhui Gao; e-mail: jhgao68@163.com).

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Cite: Mingzhe Xu and Junhui Gao, "Analysis of NBA Team Strength Using Players' Race Data Based on Clustering Method," International Journal of Social Science and Humanity vol. 7, no. 12, pp. 747-750, 2017.

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