DocumentCode
1928700
Title
ICAIS: A Novel Incremental Clustering Algorithm Based on Artificial Immune Systems
Author
Li, Xianghua ; Lu, Tianyang ; Wang, Zhengxuan ; Gao, Chao
Author_Institution
Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun
fYear
2008
fDate
28-29 Jan. 2008
Firstpage
85
Lastpage
90
Abstract
Although many kinds of clustering algorithms are proposed, there has been much less work on the incremental clustering. Inspired by the artificial immune systems, the authors apply it to the incremental clustering, propose a novel incremental clustering algorithm called ICAIS. The algorithm mainly uses the mechanism of immune response of the adaptive immune system. The primary immune response corresponds to forming the new clusters. The secondary immune response corresponds to recognizing the data belonging to the existed clusters. The experiments show that ICAIS has advantages in recognizing new pattern, the effect is better.
Keywords
artificial immune systems; data mining; pattern clustering; ICAIS; artificial immune systems; immune response; incremental clustering algorithm; Adaptive systems; Artificial immune systems; Biology computing; Cells (biology); Clustering algorithms; Computer science; Data analysis; Data mining; Immune system; Partitioning algorithms; artificial immune system; incremental clustering; primary immune response; secondary immune response;
fLanguage
English
Publisher
ieee
Conference_Titel
Internet Computing in Science and Engineering, 2008. ICICSE '08. International Conference on
Conference_Location
Harbin
Print_ISBN
978-0-7695-3112-0
Electronic_ISBN
978-0-7695-3112-0
Type
conf
DOI
10.1109/ICICSE.2008.13
Filename
4548239
Link To Document