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Chernoff faces and animal science applications

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2019
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Abstract (EN)

Purpose of this study was to examine the theoretical and practical aspects of animal data sets with Chernoff faces that is one of the data visualization techniques. Chernoff's faces are simplified cartoon-like faces designed by Herman Chernoff to assess the perceptual significance of complex multidimensional data and make cognitive processes more effective and efficient. In the study, 20 cattle (Brown Swiss), 20 goats (Hair Goat), 20 Bombus terrestris l. (Hymenoptera Apidae) reared in Atabey, Isparta in 2002 were used as a data set. Facial features differed in perceptual clarity and instead of presentations filled with large and complex numbers, easily understood presentations facilitated by figures were obtained. Key Words: Chernoff Faces, Data Visualization, Icon Graphics, Livestock

Author

Emine Çetin Teke

How to Cite

Emine Çetin Teke (Master Thesis). Chernoff faces and animal science applications, 2019, Isparta University of Applied Sciences.

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