DocumentCode
2007030
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
fYear
2012
fDate
20-24 Nov. 2012
Firstpage
956
Lastpage
959
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/SCIS-ISIS.2012.6505293
Filename
6505293
Link To Document