Depth-based classification of directional data

作者：

Highlights：

• A non-parametric spherical-distance-based classifier is proposed.

• It is an alternative to the existing depth-based algorithms.

• Performances are investigated and compared through simulated and real data sets.

摘要

•A non-parametric spherical-distance-based classifier is proposed.•It is an alternative to the existing depth-based algorithms.•Performances are investigated and compared through simulated and real data sets.

论文关键词：Spherical random variables,Directional distance,Angular data depth,Misclassification rate

论文评审过程：Received 24 July 2019, Revised 21 September 2020, Accepted 1 December 2020, Available online 7 December 2020, Version of Record 24 December 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114433