Luciano Nieddu and Giuseppe Manfredi
A Constrained Clustering Algorithm for the Classification of Industrial Ores
1113 - 1117
2010
4
10
International Journal of Industrial and Manufacturing Engineering
https://publications.waset.org/pdf/15142
https://publications.waset.org/vol/46
World Academy of Science, Engineering and Technology
In this paper a Pattern Recognition algorithm based on
a constrained version of the kmeans 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 twodimensional contour of an image,
on images of industrial mineral ores.
Open Science Index 46, 2010