%0 Journal Article
	%A Luciano Nieddu and  Giuseppe Manfredi
	%D 2010
	%J International Journal of Industrial and Manufacturing Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 46, 2010
	%T A Constrained Clustering Algorithm for the Classification of Industrial Ores
	%U https://publications.waset.org/pdf/15142
	%V 46
	%X In this paper a Pattern Recognition algorithm based on
a constrained version of the k-means clustering algorithm will be
presented. The proposed algorithm is a non parametric supervised
statistical pattern recognition algorithm, i.e. it works under very mild
assumptions on the dataset. The performance of the algorithm will
be tested, togheter with a feature extraction technique that captures
the information on the closed two-dimensional contour of an image,
on images of industrial mineral ores.
	%P 1113 - 1117