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作者:

Li, Xianghua (Li, Xianghua.) | Lu, Tianyang (Lu, Tianyang.) | Wang, Zhengxuan (Wang, Zhengxuan.) | Gao, Chao (Gao, Chao.)

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摘要:

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. © 2008 IEEE.

关键词:

Adaptive systems Clustering algorithms Immune system

作者机构:

  • [ 1 ] [Li, Xianghua]College of Computer Science and Technology, JiLin University, Changchun, China
  • [ 2 ] [Lu, Tianyang]College of Computer Science and Technology, Harbin Engineering University, Harbin, China
  • [ 3 ] [Wang, Zhengxuan]College of Computer Science and Technology, JiLin University, Changchun, China
  • [ 4 ] [Gao, Chao]International WIC Institute, Beijing University of Technology, Beijing, China

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年份: 2008

页码: 85-90

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 3

ESI高被引论文在榜: 0 展开所有

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近30日浏览量: 1

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