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
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;
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
DOI :
10.1109/ICICSE.2008.13