%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