Clustering Analysis Based on Chaos Immune Algorithm

To improve the accuracy of clustering classification, the Chaos Immune Algorithm was proposed. In this algorithm, the ergodic property of chaos phenomenon is used to optimize the initial population, so it can accelerate the convergence of Immune Algorithms. Chaotic systems are sensitive to initial c...

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Main Author: Yanbin, Wu (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2014-03-01.
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042 |a dc 
100 1 0 |a Yanbin, Wu  |e author 
100 1 0 |e contributor 
245 0 0 |a Clustering Analysis Based on Chaos Immune Algorithm 
260 |b Institute of Advanced Engineering and Science,   |c 2014-03-01. 
520 |a To improve the accuracy of clustering classification, the Chaos Immune Algorithm was proposed. In this algorithm, the ergodic property of chaos phenomenon is used to optimize the initial population, so it can accelerate the convergence of Immune Algorithms. Chaotic systems are sensitive to initial condition system parameters. Through the clone selection operator, antibody circulation and supplement, Clone operator and excellent individual chaotic disturbance, local optimums were avoided, so the global optimization was obtained. As for this issue, chaotic immune algorithm, ALECO-2, BPMA and BP algorithm were applied to test the algorithm performance in two group experiments. Theory and experiment showed that the Chaos Immune Algorithm can get global optimum clustering center, and greatly improve the amplitude of operation. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4426 
540 |a Copyright (c) 2013 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc-nd/4.0 
546 |a eng 
690 |a Chaos; immune algorithm; cluster classification 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 12, No 3: March 2014; 2145-2151 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v12.i3 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3240/1402 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3240/1402  |z Get fulltext