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Clustering and Dynamic Data Visualization with Artificial Flying Insect
S. Aupetit1, N. Monmarché1, M. Slimane1, C. Guinot2, and G. Venturini1
1Laboratoire d'Informatique de l'Université de Tours,
École Polytechnique de l'Université de Tours
Département Informatique
64, Avenue Jean Portalis,
37200 Tours, France.
{monmarche,oliver,venturini}@univ-tours.fr
sebastien.aupetit@etu.univ-tours.fr
2CE.R.I.E.S.,
20 rue Victor Noir,
92521 Neuilly sur Seine Cédex.
christiane.guinot@ceries-lab.com
Abstract. We present in this paper a new bio-inspired algorithm that dynamically creates and visualizes groups of data. This algorithm uses the concepts of flying insects that move together in complex manner with simple local rules. Each insect represents one datum. The insect moves aim at creating homogeneous groups of data that evolve together in a 2D environment in order to help the domain expert to understand the underlying class structure of the data set.
LNCS 2723, p. 140 f.
lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2003