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. © 2011 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Pintea, C. M., & Sabau, S. V. (2011). Correlations involved in a bio-inspired classification technique. In Studies in Computational Intelligence (Vol. 387, pp. 239–246). https://doi.org/10.1007/978-3-642-24094-2_17
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