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Genetic and Evolutionary Computation Conference

GECCO 2003: Genetic and Evolutionary Computation — GECCO 2003 pp 140–141Cite as

Clustering and Dynamic Data Visualization with Artificial Flying Insect

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2723))

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.

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References

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Author information

Authors and Affiliations

  1. École Polytechnique de l’Université de Tours - Département Informatique, Laboratoire d’Informatique de l’Université de Tours, 64, Avenue Jean Portalis, 37200, Tours, France

    S. Aupetit, N. Monmarché, M. Slimane & G. Venturini

  2. CE.R.I.E.S., 20 rue Victor Noir, 92521, Neuilly sur Seine Cédex

    C. Guinot

Authors
  1. S. Aupetit
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  2. N. Monmarché
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  3. M. Slimane
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  4. C. Guinot
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  5. G. Venturini
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Editor information

Editors and Affiliations

  1. Lawrence Livermore National Laboratory, Center for Applied Scientific Computing (CASC), 7000 East Avenue, L-561, Livermore, CA, 94550, USA

    Erick Cantú-Paz

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© 2003 Springer-Verlag Berlin Heidelberg

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Cite this paper

Aupetit, S., Monmarché, N., Slimane, M., Guinot, C., Venturini, G. (2003). Clustering and Dynamic Data Visualization with Artificial Flying Insect. In: Cantú-Paz, E., et al. Genetic and Evolutionary Computation — GECCO 2003. GECCO 2003. Lecture Notes in Computer Science, vol 2723. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45105-6_13

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  • DOI: https://doi.org/10.1007/3-540-45105-6_13

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40602-0

  • Online ISBN: 978-3-540-45105-1

  • eBook Packages: Springer Book Archive

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