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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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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