Title :
Team formation estimation using cluster analysis and triangulation model
Author :
Akiyama, Hidenori ; Aramaki, S. ; Nakashima, Takayoshi
Author_Institution :
Dept. of Electron. Eng. & Comput. Sci., Fukuoka Univ., Fukuoka, Japan
Abstract :
In this paper, we propose a method to estimate unknown team formation from observed positional data. We combined Growing Neural Gas Network and triangulation based function representation model in order to analyze positional data and recompose a team formation. In the experiments, we show the estimation results using the log file recorded by the RoboCup soccer 2D simulator.
Keywords :
data analysis; mobile robots; multi-robot systems; pattern clustering; RoboCup soccer 2D simulator; cluster analysis; log file; neural gas network; positional data analysis; team formation estimation; triangulation based function representation model;
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
Conference_Location :
Kobe
Print_ISBN :
978-1-4673-2742-8
DOI :
10.1109/SCIS-ISIS.2012.6505293
