A nazomaláris szög és szimotikus húr alkalmazása metrikus alapú taxonómiai osztályozási feladatokban

Ancestry can be estimated in a probabilistic framework using facial morphological signatures of the different population histories. While the assessment of qualitative traits requires more experience, the measurement of the most distinctive quantitative characters usually demands anthropological tools seldom available. However, some of the facial measurements related to ancestry can be easily recorded with a caliper. The study aims to present the efficiency of simotic chord (SC) and nasomalar angle (M77) in ancestry estimation by applying supervised and unsupervised algorithms to classify skulls with European and Asian ancestry. Linear discriminant analysis and Gaussian Mixture models were applied to a subset of the Howells’ craniometric dataset comprised of individuals with European and Asian ancestry. Prediction of ancestry was carried out on a set of craniometric traits describing height, length and width parameters of the crania and then repeated on this set supplemented with M77 and SC measurements. An increased percentage of true positive prediction of ancestry was achieved by involving the M77 and SC measurements.