聚类邻域自适应调整的多载蚁群算法

针对基本蚁群聚类算法较长时间开销和易产生冗余聚类数目的缺陷，提出了一种基于动态邻域的多载蚁群聚类算法。算法通过邻域动态自适应调整寻找纯净的邻域，增强蚂蚁记忆体记忆纯净邻域的大小，蚂蚁之间协同交流进行多载整合相似邻域形成最终聚类结果。实验结果表明新算法能有效提高算法效率且取得较好的聚类效果。

New multi-loading ant colony algorithm based on adaptive adjustment of clustering neighborhood

In order to solve the problems that the general antcolony clustering algorithm expenses a long time and easily produces redundant number of clusters,a new multi-loading ant colony clustering algorithm based on dynamic neighborhood is provided.The algorithm seeks for the pure neighborhood through the neighborhood dynamic auto-adapted adjustment,enhances ant＇s memory to store the size of the pure neighborhood,exchanges the information between ants,multi-loads and merges the similar regions to form the final cluster result.Experiment shows that the new algorithm effectively advances the efficiency of algorithm and the result of clustering.