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Correlations involved in a bio-inspired classification technique
Studies in Computational Intelligence (2012)
  • Camelia Pintea
  • S.V. Sabau
An improved unsupervised bio-inspired clustering model is introduced. The main goal is to involve a correlation between properties of objects and some bio-inspired factors. The statistical classification biological model is based on the chemical recognition system of ants. Ants are able to create groups discriminating between nest-mates and intruders based on similar odor. Comparative analysis are performed on real data sets.
  • clustering,
  • ant colony
Publication Date
Citation Information
Camelia Pintea and S.V. Sabau. "Correlations involved in a bio-inspired classification technique" Studies in Computational Intelligence Vol. 387 (2012)
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