Fax clustering algorithm based on adaptive ant colony optimize

Yuan Hongtao, Li Qing, Hou Ying
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Abstract

The fax clustering is that the same or similar faxes will be clustered into one group in mass faxes. In order to improve accuracy of clustering, a fax clustering algorithm based on adaptive ant colony optimization was proposed in this paper. The algorithm simulates ant feeding theory, and improves the coefficient of pheromone updating, and avoids falling into local optimum. The experimental results show that the algorithm has good robustness. The effect of clustering is improved obviously.
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基于自适应蚁群优化的传真聚类算法
传真集群是指在大量传真中,将相同或相似的传真聚集到一个组中。为了提高聚类精度,提出了一种基于自适应蚁群优化的传真聚类算法。该算法模拟蚂蚁觅食理论,提高信息素更新系数,避免陷入局部最优。实验结果表明,该算法具有良好的鲁棒性。聚类效果明显提高。
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