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