A Gaussian mixture clustering model for characterizing football players using the EA Sports' FIFA video game system. [Modelo basado en agrupamiento de mixturas Gaussianas para caracterizar futbolistas utilizando el sistema de videojuegos FIFA de EA Sports].

A Gaussian mixture clustering model for characterizing football players using the EA Sports' FIFA video game system. [Modelo basado en agrupamiento de mixturas Gaussianas para caracterizar futbolistas utilizando el sistema de videojuegos FIFA de EA Sports].

The generation and availability of football data has increased considerably last decades, mostly due to its popularity and also because of technological advances. Gaussian mixture clustering models represents a novel approach to exploring and analyzing performance data in sports. In this paper, we u...

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Bibliographic Details
Main Author: César Soto-Valero
Format: Article
Language:English
Published: Ramón Cantó Alcaraz 2017-07-01
Series:Revista Internacional de Ciencias del Deporte
Subjects:
association football
EA Sports' FIFA video game series system
machine learning
Gaussian mixture clustering models
classification and regression trees
Online Access:https://doi.org/10.5232/ricyde2017.04904

Internet

https://doi.org/10.5232/ricyde2017.04904

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