WASET
	%0 Journal Article
	%A Luciano Nieddu and  Giuseppe Manfredi and Salvatore D'Acunto and  Katia La Regina
	%D 2011
	%J International Journal of Economics and Management Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 51, 2011
	%T A Optimal Subclass Detection Method for Credit Scoring
	%U https://publications.waset.org/pdf/51
	%V 51
	%X In this paper a non-parametric statistical pattern recognition algorithm for the problem of credit scoring will be presented. The proposed algorithm is based on a clustering k- means algorithm and allows for the determination of subclasses of homogenous elements in the data. The algorithm will be tested on two benchmark datasets and its performance compared with other well known pattern recognition algorithm for credit scoring.

	%P 340 - 345