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Orthodontists are interested in finding a set of standard arch forms for clinical orthodontic practice. In this paper, we propose a functional clustering method for the dental arches based on a mixture of U-shaped curves. We decide the number of clusters (equivalently, mixture components) using the Bayesian information criterion and the jump criterion based on a given distortion function. We apply...
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