@article {86,
	title = {YCSc: A modified clustering technique based on LCS},
	journal = {Journal of Digital Information Management},
	volume = {5},
	year = {2007},
	note = {Cited By (since 1996):2Export Date: 10 July 2014},
	month = {2007},
	pages = {160 - 166},
	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 within a given dataset. Favourable comparisons to the commonly used k-means algorithm are demonstrated on a number of datasets.},
	keywords = {Evolutionary algorithms, K-means algorithm, Learning classifier systems},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70350651771\&partnerID=40\&md5=edb219bf61f63b4fe832f9edf8cde638},
	author = {Tamee, K. and Bull, L. and Pinngern, O.}
}
