Abstract
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.
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Pintea, CM., Sabau, S.V. (2011). Correlations Involved in a Bio-inspired Classification Technique. In: Pelta, D.A., Krasnogor, N., Dumitrescu, D., Chira, C., Lung, R. (eds) Nature Inspired Cooperative Strategies for Optimization (NICSO 2011). Studies in Computational Intelligence, vol 387. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24094-2_17
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DOI: https://doi.org/10.1007/978-3-642-24094-2_17
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