A Distributed Data Clustering Based on Multiple Colonies Swarm-like Agent

被引：0
|
作者：
Meesad, P. [1 ]
Sodsee, S. [2 ]
Li, Z. [2 ]
Halang, W. [2 ]
机构：
[1] King Mongkuts Univ Technol North Bangkok, Fac Tech Educ, Bangkok, Thailand
[2] Fernuniv, Fac Math & Comp Sci, Hagen, Germany
来源：
ECTI-CON: 2009 6TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING/ELECTRONICS, COMPUTER, TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY, VOLS 1 AND 2 | 2009年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a data clustering algorithm based on the natural behaviors of social insects in multiple colonies and multiple food sources concept; agents from each colony take a food back to their colony aimed to group the food. The proposed algorithm is a distributed data clustering algorithm based on multiple swarm-like agent colonies. Its advantages are a distributed data clustering and heterogeneous dataset clustering. Simulations are conducted to illustrate its effectiveness performance for data clustering. Iris dataset and Wisconsin Breast Cancer Database (WBCD) are applied to present its efficiency.
引用
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页码：578 / +
页数：2
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