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  2008, Vol. 21 Issue (1): 72-81    DOI:
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An Adaptive Polyclonal Clustering Algorithm and Its Convergence Analysis
MA Li1,2, JIAO LiCheng1, BAI Lin2, CHEN ChangGuo3
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 polyclonal clustering algorithm with selfadaptive 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 nonconsistent 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.
Key wordsClonal Selection      Clustering Analysis      Recombination and Crossover Operators      NoneConsistent Mutation      Markov Chain      Convergence     
Received: 17 July 2006     
ZTFLH: TP309  
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MA Li
JIAO LiCheng
BAI Lin
CHEN ChangGuo
Cite this article:   
MA Li,JIAO LiCheng,BAI Lin等. An Adaptive Polyclonal Clustering Algorithm and Its Convergence Analysis[J]. , 2008, 21(1): 72-81.
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