Technical Note: Geometric Morphometrics and Sexual Dimorphism of the Greater Sciatic Notch in Adults From Two Skeletal Collections: The Accuracy and Reliability of Sex Classification
Por:
Velemínská J., Krajicek, V, Dupej J., Goméz-Valdés J.A., Velemínský P., Sefcakova, A, Pelikán J., Sánchez-Mejorada G., Bruzek, J
Publicada:
1 dic 2013
Resumen:
The greater sciatic notch (GSN) is one of the most important and
frequently used characteristics for determining the sex of skeletons,
but objective assessment of this characteristic is not without its
difficulties. We tested the robustness of GSN sex classification on the
basis of geometric morphometrics (GM) and support vector machines (SVM),
using two different population samples. Using photographs, the shape of
the GSN in 229 samples from two assemblages (documented collections of a
Euroamerican population from the Maxwell Museum, University of New
Mexico, and a Hispanic population from Universidad Nacional Autonoma de
Mexico, Mexico City) was segmented automatically and evaluated using six
curve representations. The optimal dimensionality for each
representation was determined by finding the best sex classification.
The classification accuracy of the six curve representations in our
study was similar but the highest and concurrently homologous
cross-validated accuracy of 92% was achieved for a pooled sample using
Fourier coefficient and Legendre polynomial methods. The success rate of
our classification was influenced by the number of semilandmarks or
coefficients and was only slightly affected by GSN marginal point
positions. The intrapopulation variability of the female GSN shape was
significantly lower compared with the male variability, possibly as a
consequence of the intense selection pressure associated with
reproduction. Males were misclassified more often than females. Our
results show that by using a suitable GSN curve representation, a GM
approach, and SVM analysis, it is possible to obtain a robust separation
between the sexes that is stable for a multipopulation sample. Am J Phys
Anthropol 152:558-565, 2013. (c) 2013 Wiley Periodicals, Inc.
Filiaciones:
Velemínská J.:
Department of Anthropology and Human Genetics, Faculty of Science, Charles University in Prague, Vinicná 7, 12844 Prague 2, Czech Republic
Dupej J.:
Department of Software and Computer Science Education, Faculty of Mathematics and Physics, Charles University in Prague, Prague 11800, Czech Republic
Goméz-Valdés J.A.:
Univ Nacl Autonoma Mexico, Fac Med, Dept Anat, Coyoacan 04510, DF, Mexico
Velemínský P.:
Department of Anthropology, National Museum, Prague 11579, Czech Republic
Pelikán J.:
Department of Software and Computer Science Education, Faculty of Mathematics and Physics, Charles University in Prague, Prague 11800, Czech Republic
Sánchez-Mejorada G.:
Univ Nacl Autonoma Mexico, Fac Med, Dept Anat, Coyoacan 04510, DF, Mexico
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