A new clustering algorithm based on artificial immune system

Proceedings - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008

Volumn 2, Issue , 2008, Pages 347-351

  Liu, Tao ^a   Zhou, Yan ^a   Hu, Zhifeng ^a   Wang, Zhijie ^b  

^a SUZHOU VOCATIONAL UNIVERSITY   (China)

^b SHANGHAI DIANJI UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIBODIES; ANTIGENS; CLUSTER ANALYSIS; CONVERGENCE OF NUMERICAL METHODS; FUZZY LOGIC; FUZZY SYSTEMS; IMMUNOLOGY;

ARTIFICIAL IMMUNE SYSTEMS; CLUSTER CENTERS; CONVERGENCE SPEEDS; DATA ANALYSIS; IMMUNE MECHANISMS; IMMUNE SYSTEMS;

CLUSTERING ALGORITHMS;

EID: 58049196508     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FSKD.2008.67     Document Type: Conference Paper

References (14)

1. Tao Liu, Shuqin Cai, Shuangyuan Shi. The Analysis and Research Outlook of Artificial Immune Data Mining Methods. Computer Engineering and Design, 2005(12): 12-15, 32 (in Chinese).
2. D. Dasgupta. Artificial Neural Networks and Artificial Immune Systems: Similarities and Differences. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, vol.1: 873-878, October 1997.
3. Weiwei Ni, Jieping Lu, Zhihui Sun. An Effective Distributed k-Means Clustering Algorithm Based on the Pretreatment of Vectors' Inner-Product. Journal of Computer Research and Development, 05(9): 1493-1497, September 2005 (in Chinese).
4. Huang Z. Extensions to the k-means Algorithm for Clustering Large Data Sets with Categorical Values . Data Ming and Knowledge Discovery, 98(2): 283-297, February 1998.
5. Qiang Lv, Jinshou Yu. A K-Means Optimal Clustering Algorithm Based on Mixed Genetic Algorithms. Journal of East China University Of Science and Technology, 05(2): 91-94, February 2005 (in Chinese).
6. Xiaoshuai Xing, Jin Pan, Licheng Jiao. A K-Means Optimal Clustering algorithm Based on immune planning .Journal of Computer Science, 03(5): 94-99, March 2003 (in Chinese).
7. DE Castro, Von Zuben. Artificial Immune Systems: Part I-Basic Theory and Applications. Technical Report-RT DCA 01/99, URL: http://www.dca.fee.unicamp.br/ lnunes.
8. Tao Liu, Shuqin Cai, Fengwen Cao, Zhilei Cui. A K-Means Optimal Clustering Algorithm Based on Distance Concentration . Journal of Huazhong University of Science and Technology, 07(10): 51-53, October 2007.
9. Tao Liu, Yaocai Wang , Zhijie Wang, et al. The Distance Concentration Artificial Immune Algorithm. Journal of China University of Mining and Technology, 05(2): 81-85, May 2005.
10. Perelson, A. S. , Oster, G. F. Theoretical Studies of Clonal Selection: Minimal Antibody Repertoire Size and Reliability of Self-Nonself Discrimination. Journal of theoretic biology, 79(8): 645 670, October 1997.
11. Hongwei Mo. The principle and Application of Artificial Immune Systems. Harbin: Press of Harbin Institute of Technology, 2002 (in Chinese).
12. S. Forrest, A. S. Perelson, L. Allen, R. Cherukuri. Self-nonself Discrimination in a Computer. In: Proceedings of the IEEE Symposium on Research in Security and Privacy, pp. 202-212, July 1994.
13. D Dasgupta, N Attoh Okine. Immunity Based Systems: A Survey. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics , pp. 369-374, September 1997.
14. De Castro, Fernando J. An Evolutionary Immune Network for Data Clustering . In: Proceedings of the IEEE Brazilian Symposium on Artificial Neural Networks, pp.84-89, August 2000.