By Topic

A novel method in fuzzy data clustering based on chaotic PSO

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ehsan Toreini ; Computer Department, Faculty of Engineering, Mashhad Branch, Islamic Azad University, Iran ; Maryam Mehrnejad

The Idea of data clustering with PSO has been around for recent years. In this paper, the technique of data clustering using Particle Swarm Optimization Algorithm improves with offering a new fitness. After that, it is applied to fuzzy clustering. Then, our clustering PSO improved by combining it with chaos theory. Different chaotic maps were used in our CPSO Clustering Algorithm. They are all analyzed and compared to each other and their impact on clustering results are measured. At last, our new idea was compared to previous methods in action and experiments show a tremendous improvement in the results.

Published in:

Internet Technology and Secured Transactions (ICITST), 2011 International Conference for

Date of Conference:

11-14 Dec. 2011