DocumentCode :
3025633
Title :
Implementation of Clustering Algorithm Using Artificial Immune System
Author :
Lan, Li ; Qiao-Mei, Rong
Author_Institution :
Coll. of Comput. Eng., Qingdao Technol. Univ., Qingdao, China
fYear :
2009
fDate :
25-26 April 2009
Firstpage :
275
Lastpage :
278
Abstract :
In this paper, a clustering algorithm based on the immune mechanism of the capture of antigen by the antibody has been presented. The datum to be clustered are viewed as antigens,and the cluster centers are viewed as the antibodies in the immune system. The clustering is effectively the process in which the immune system constantly generates antibodies for the recognition of the antigens and finally generates the optimal antibodies for the capture of the antigens. The experimental results show that the algorithm can successfully be applied to the data clustering.
Keywords :
artificial immune systems; pattern clustering; antigens; artificial immune system; cluster centers; clustering algorithm; immune mechanism; optimal antibodies; Artificial immune systems; Artificial intelligence; Clustering algorithms; Competitive intelligence; Educational institutions; Genetic algorithms; Humans; Immune system; Learning; Partitioning algorithms; Artificial Immune System; Artificial Intelligence; Clustering Algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database Technology and Applications, 2009 First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3604-0
Type :
conf
DOI :
10.1109/DBTA.2009.165
Filename :
5207763
Link To Document :
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