@article{(Open Science Index):https://publications.waset.org/pdf/15142, title = {A Constrained Clustering Algorithm for the Classification of Industrial Ores}, author = {Luciano Nieddu and Giuseppe Manfredi}, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Industrial and Manufacturing Engineering}, volume = {4}, number = {10}, year = {2010}, pages = {1113 - 1117}, ee = {https://publications.waset.org/pdf/15142}, url = {https://publications.waset.org/vol/46}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 46, 2010}, }