In order to address the high misidentification rate and resource wastage caused by individualant move-ment due to poor information interaction among ants in ant colony clustering algorithms.This paper integrated three-way decision idea into ant colony clustering progress.The ant activation and micro-cluster formation mechanisms are used to categorize ants into activated,non-activated and micro-clustered ants.The elite ant mechanism and secondary verification mechanism are then employed to select micro-clusters with similarity a-bove a threshold to form positive clustering regions.And then elite ants are assigned higher priorities and fixed flat positions.Finally,the information entropy values between different positive regions as attribute weighting are used to guide the movements of boundary ants towards more similar and prioritized ants.Experimental results show that the proposed algorithm not only enhance the quality of ant colony clustering but also demonstrates good time efficiency.
ant colony clusteringthree-way decisionelite antsmicro-clustersattribute weighting
NETL
NSTL
维普
万方数据
