Abstract
Maxwell Demon Model was proposed in 1871 to challenge the second law of thermodynamics. While ignoring the energy problem, we can find that Maxwell has started the original clustering model, which implements the clustering of quick molecule and slow molecule naturally. In this paper, we proposed a new model called MCP model, which integrated Maxwell multi-Demon and the ants’ movements, and implemented the integration of sample clustering and the whole data set partitioning. We tested our algorithm on UCI examples, the results show it behaves well.
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Acknowledgments
This research is supported by the National Natural Science Foundation of China (Grant Nos. 60472121 and 60979021).
The authors are grateful to the editors and the anonymous reviewers: their remarks and suggestions are important for shaping this paper.
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Wang, J., Ma, F., Huang, H. (2013). Maxwell Demon and the Integration Algorithm of Clustering-Partitioning. In: Yin, Z., Pan, L., Fang, X. (eds) Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013. Advances in Intelligent Systems and Computing, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37502-6_85
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DOI: https://doi.org/10.1007/978-3-642-37502-6_85
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