Directional data lies on the surface of the unit sphere. Exploiting new results on the computation and the properties of the angular halfspace depth, we introduce the spherical version of the bagdistance, applicable to directional data. A bagdistance-based classification method for directional data is considered. The proposed method will be compared with other directional classifiers by means of a simulation study.
Angular halfspace depth: classification using spherical bagdistances
Houyem Demni
;Davide Buttarazzi;Giovanni C. Porzio
2021-01-01
Abstract
Directional data lies on the surface of the unit sphere. Exploiting new results on the computation and the properties of the angular halfspace depth, we introduce the spherical version of the bagdistance, applicable to directional data. A bagdistance-based classification method for directional data is considered. The proposed method will be compared with other directional classifiers by means of a simulation study.File in questo prodotto:
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