Ycsc: a modified clustering technique based on lcs

Tamee, Kreangsak; Bull, Larry; Pinngern, Ouen

Abstract

This paper presents a novel approach to clustering using a simple accuracy-based Learning Classifier System with a modification to the original YCS fitness function has been found to improve the identification of less-separated data sets. Our approach achieves this by exploiting the evolutionary computing and reinforcement learning techniques inherent to such systems. The purpose of the work is to develop an approach to learning rules which accurately describe clusters without prior assumptions as to their number...

• Journal Article Type: Article
• Publication Date: Jun 1, 2007
• Journal: Journal of Digital Information Management
• Print ISSN: 0972-7272
• Publisher: Digital Information Research Foundation
• Peer Reviewed: Peer Reviewed
• Volume: 5
• Issue: 3
• Pages: 160-166
• Keywords: Ycsc, modified clustering technique, evolutionary computing, learning classifier systems
• Public URL: https://uwe-repository.worktribe.com/output/1027742
• Publisher URL: http://www.dirf.org/