%0 Journal Article
%A JIN Yao-hong
%A XIONG Wen
%T Hybrid Clustering Using ACO and AHC
%D 2013
%R 10.13190/jbupt.201303.61.xionggw
%J Journal of Beijing University of Posts and Telecommunications
%P 60-63,78
%V 36
%N 3
%X <p>To study the use of intelligent ant-colony optimization (ACO) to improve agglomerative hierarchical clustering (AHC) and to attain high-quality cluster results of hierarchy, a hybrid clustering based on ACO and AHC (HCAA) is proposed. The modified AHC and a new objective function are used to generate the dendrogram of clusters and the internal index is utilized to evaluate the solution. The mechanism of pheromone feedback and pheromone volatilization supported by the ACO is employed to control the search of the ant colony in the solution space. The method will accelerate the search, avoiding the results of local optima because of using meta-heuristic optimization. Experiments on several datasets of university of California, Irvine verify the feasibility of this method.</p>
%U https://journal.bupt.edu.cn/EN/10.13190/jbupt.201303.61.xionggw