使用真实蚂蚁行为的数据流增量聚类

2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014) Pub Date : 2014-10-16 DOI:10.1109/NaBIC.2014.6921889

N. Masmoudi, Hanene Azzag, M. Lebbah, C. Bertelle

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引用次数: 2

摘要

本文提出了一种新的用于数据增量聚类的仿生方法CL-AntInc。这个算法使用了真实蚂蚁的行为。我们通过聚类启发式来处理数据量问题。根据群体气味和信息素机制的模拟，构建了动态图。我们使用了从机器学习存储库中提取的数值数据库。实验结果表明了该算法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Incremental clustering of data stream using real ants behavior

We present in this paper a new biomimetic method nammed CL-AntInc for data incremental clustering. This algorithm uses the behavior of real ants. We deal with the issue of data volume through a clustering heuristic. Dynamic graphs are constructed according to a simulation of colonial odors and pheromone mechanisms. We used numerical databases extracted from the Machine Learning Repository. The experimental results show the effectiveness of the suggested algorithm.

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2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014)

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