Finding Roles of Players in Football Using Automatic Particle Swarm Optimization-Clustering Algorithm
Author:
Affiliation:
1. Department of Electrical Engineering, University of Birjand, Birjand, Iran.
2. Department of Electrical Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran.
3. KDD Lab, ISTI-CNR, Pisa, Italy.
Publisher
Mary Ann Liebert Inc
Subject
Information Systems and Management,Computer Science Applications,Information Systems
Link
https://www.liebertpub.com/doi/pdf/10.1089/big.2018.0069
Reference33 articles.
1. Spatio-Temporal Analysis of Team Sports
2. Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science
3. clusterExperiment and RSEC: A Bioconductor package and framework for clustering of single-cell and other large gene expression datasets
4. An a posteriori species clustering for quantifying the effects of species interactions on ecosystem functioning
5. Using clustering of rankings to explain brand preferences with personality and socio-demographic variables
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