首页> 外文会议>2007 International Conference on Computational Intelligence and Security(CIS 2007): Proceedings >Towards Improving Ant-based Clustering-An Chaotic Ant Clustering Algorithm
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Towards Improving Ant-based Clustering-An Chaotic Ant Clustering Algorithm

机译:面向改进的基于蚂蚁的聚类—一种混沌蚂蚁聚类算法

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摘要

Ant-based clustering as a nature-inspired heuristic algorithm has been applied in a data-mining context to perform both clustering and topographic mapping.It is derived from a basic model of behavior observed in real ant colonies.Early works demonstrated some promising characteristics of the ant-based clustering,but they did not extend to improve its performance,stability,convergence,and other key features.In this paper,we describe an improved version,called CACAS,adopting an important strategy of using chaotic perturbation to improve individual quality and utilized chaos perturbation to avoid the search being trapped in local optimum.We compare its performance with the K-means approach and ant-based clustering by evaluation functions and topographic mapping using a set of analytical data.Our results demonstrate CACAS is a robust and viable approach.
机译:基于蚂蚁的聚类算法是自然启发式启发式算法,已在数据挖掘上下文中用于执行聚类和地形图绘制,它是从在实际蚁群中观察到的行为的基本模型派生而来的,早期的研究证明了蚂蚁的一些有前途的特征基于蚁群的聚类,但它们并没有扩展以提高其性能,稳定性,收敛性和其他关键特性。本文描述了一种改进的版本,称为CACAS,采用了一种利用混沌扰动来提高个人素质的重要策略我们通过评估函数和地形映射(使用一组分析数据)将其性能与K-means方法和基于蚁群的聚类进行了比较,从而证明了CACAS的鲁棒性和稳定性。可行的方法。

著录项

  • 来源
  • 会议地点 Harbin(CN);Harbin(CN)
  • 作者单位

    Xiaofang Huang@Information Security Center,State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications;

    Department of Computer Science Southwest University of Science and Technology--YixianYang@Information Security Center,State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications--Xinxin Niu@Information Security Center,State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications--;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算技术、计算机技术;
  • 关键词

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