A Software Tool for Data Clustering Using Particle Swarm Optimization

  • Kalyani Manda
  • A. Sai Hanuman
  • Suresh Chandra Satapathy
  • Vinaykumar Chaganti
  • A. Vinaya Babu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6466)

Abstract

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.

Keywords

Particle swarm optimization data clustering learning tools 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Kalyani Manda
    • 1
  • A. Sai Hanuman
    • 2
  • Suresh Chandra Satapathy
    • 3
  • Vinaykumar Chaganti
    • 4
  • A. Vinaya Babu
    • 5
  1. 1.Maharaj Vijayaram Gajapat Raj Engineering CollegeVijayanagaramIndia
  2. 2.GRIETHyderabadIndia
  3. 3.Anil Neerukonda Institute of Technology and ScienceVisakhapatnamIndia
  4. 4.GITAMVishakapatnamIndia
  5. 5.JNTUHyderabadIndia

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