Classification of Occlusal Curves Using Clustering Methods
A new method for dental prosthetics, which uses specially designed soft-ware to model occlusal curves, has been investigated. Using this software,the occlusal curves distances have been taken of 103 students from the Fac-ulty of Dental Medicine, from 19 to 26 years of age, of which 49 women and54 men. K-means and hierarchical cluster analysis have been performed onthis same dataset. The purpose of this research is to aid and improve theexisting expert classication and in general to compare software-assistedapproach to human expert one.
Acknowledgements: This work was supported В by the European Social Fund through the Human ResourceDevelopment Operational Programme under contract BG051PO001-3.3.06-0052(2012/2014).
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