ICAIS: A novel incremental clustering algorithm based on artificial immune systems

Xianghua Li, Tianyang Lu, Zhengxuan Wang, Chao Gao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings ICICSE 2008 - 2008 International Conference on Internet Computing in Science and Engineering
Pages85-90
Number of pages6
DOIs
StatePublished - 2008
Externally publishedYes
EventICICSE 2008 - 2008 International Conference on Internet Computing in Science and Engineering - Harbin, Leilongjiang, China
Duration: 28 Jan 200829 Jan 2008

Publication series

NameProceedings ICICSE 2008 - 2008 International Conference on Internet Computing in Science and Engineering

Conference

ConferenceICICSE 2008 - 2008 International Conference on Internet Computing in Science and Engineering
Country/TerritoryChina
CityHarbin, Leilongjiang
Period28/01/0829/01/08

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