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| An Adaptive Polyclonal Clustering Algorithm and Its Convergence Analysis |
| MA Li1,2, JIAO LiCheng1, BAI Lin2, CHEN ChangGuo3 |
1.Intelligent Information Processing Institute, Xidian University, Xi'an 7100712.
Information Center, Xi'an Institute of Post and Telecommunications, Xi'an 7100613.
Intervideo Digital Science and Technology Inc., Xi'an, 710075 |
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Abstract Based on a simple description of the basic principle of biology immune and clonal process, a polyclonal clustering algorithm with selfadaptive feature is put forward. The main idea of the algorithm is to put various operators in artificial immune system into clustering process and adjust clustering numbers automatically by affinity function. The recombination operator is introduced to increase the diversity of antibody group so as to broaden the search scope of the global optimization solution and avoid early mature phenomenon of the group. And the nonconsistent mutation operator is introduced to enhance the adaptability and optimize the performance of local solution seeking, meanwhile convergence of the algorithm is speeded up. The experimental result shows that reasonable clustering could be realized by the proposed algorithm.
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Received: 17 July 2006
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2008, Vol. 21 
