A Mixed Model for Performance-Based Classification of NBA Players
Performance-Based Classification of NBA Players
Using data collected from the Basketball-Reference.com, this study examined NBA player performance values to discern patterns and to classify clusters exhibiting common patterns of player performance. Empirical results based on the K-means clustering analysis identified three NBA player clusters. Results of the K-means clustering analysis were tested for accuracy using the discriminant analysis indicated that cluster means were significantly different. The results of one-way ANOVA also showed that significant differences in all twenty-one independent variables were found within the three identified NBA player clusters. The multilayer perceptron neural network model was utilized as a predictive model in deciding the classification of NBA players based on their performance related statistics. From an architectural perspective, it showed a 21-7-3 neural network construction. Results of this study may provide insight into the understanding of the performance of NBA players for NBA management purposes.
Copyright (c) 2021 Yeong Nain Chi, Jennifer Chi (Author)
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