@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},
	}