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16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'04)
Boca Raton, Florida
November 15-November 17
ISBN: 0-7695-2236-X
ASCII Text
x 
 
Fabien Picarougne, Hanene Azzag, Gilles Venturini, Gilles Venturini, Christiane Guinot, "On Data Clustering with a Flock of Artificial Agents," Tools with Artificial Intelligence, IEEE International Conference on, pp. 777-778, 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'04), 2004.
 
 
BibTex
x
 
@article{ 10.1109/ICTAI.2004.95,
author = {Fabien Picarougne and Hanene Azzag and Gilles Venturini and Gilles Venturini and Christiane Guinot},
title = {On Data Clustering with a Flock of Artificial Agents},
journal ={Tools with Artificial Intelligence, IEEE International Conference on},
volume = {0},
year = {2004},
issn = {1082-3409},
pages = {777-778},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2004.95},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Tools with Artificial Intelligence, IEEE International Conference on
TI - On Data Clustering with a Flock of Artificial Agents
SN - 1082-3409
SP777
EP778
A1 - Fabien Picarougne,
A1 - Hanene Azzag,
A1 - Gilles Venturini,
A1 - Gilles Venturini,
A1 - Christiane Guinot,
PY - 2004
KW - null
VL - 0
JA - Tools with Artificial Intelligence, IEEE International Conference on
ER -
 
Fabien Picarougne, Ecole Polytechnique de léUniversité de Tours
Hanene Azzag, Ecole Polytechnique de léUniversité de Tours
Gilles Venturini, Ecole Polytechnique de léUniversité de Tours
Gilles Venturini, Ecole Polytechnique de léUniversité de Tours
Christiane Guinot, C.E.R.I.E.S.
We present a new bio-inspired algorithm that dynamically creates and visualizes groups of data. This algorithm uses the concepts of a flock of agents that move together in a complex manner with simple local rules. Each agent represents one data. The agents move with the aim of creating homogeneous groups of data that evolve together in a 2D environment. These created groups are visualized in real time and help the domain expert to understand the underlying class structure of the data set, like for example a realistic number of classes, clusters of similar data, isolated data, etc. We present several extensions of this algorithm and present results from artificial and real-world data.
Citation:
Fabien Picarougne, Hanene Azzag, Gilles Venturini, Gilles Venturini, Christiane Guinot, "On Data Clustering with a Flock of Artificial Agents," ictai, pp.777-778, 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'04), 2004
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