A Software Tool for Data Clustering Using Particle Swarm Optimization

被引：0

作者：

Manda, Kalyani ^{[1
]}

Hanuman, A. Sai ^{[2
]}

Satapathy, Suresh Chandra ^{[3
]}

Chaganti, Vinaykumar ^{[4
]}

Babu, A. Vinaya ^{[5
]}

机构：

[1] Maharaj Vijayaram Gajapat Raj Engn Coll, Vijayanagaram, India

[2] GRIET, Hyderabad, Andhra Pradesh, India

[3] Anil Neerukonda Inst Technol & Sci, Visakhapatnam, Andhra Pradesh, India

[4] GITAM, Visakhapatnam, Andhra Pradesh, India

[5] JNTU, Hyderabad, Andhra Pradesh, India

来源：

SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING | 2010年 / 6466卷

关键词：

Particle swarm optimization; data clustering; learning tools;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Many universities all over the world have been offering courses on swarm intelligence from 1990s. Particle Swarm Optimization is a swarm intelligence technique. It is relatively young, with a pronounce need for a mature teaching method. This paper presents an educational software tool in MATLAB to aid the teaching of PSO fundamentals and its applications to data clustering. This software offers the advantage of running the classical K-Means clustering algorithm and also provides facility to simulate hybridization of K-Means with PSO to explore better clustering performances. The graphical user interfaces are user-friendly and offer good learning scope to aspiring learners of PSO.

引用

页码：278 / +

页数：2

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