Multi-class Depth-based Classification for Multivariate Data

Author(s):

Sara Bayat , Sakineh Dehghan*

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

‎This paper presents a nonparametric multi-class depth-based classification approach for multivariate data. This approach is easy to implement rather than most existing nonparametric methods that have computational complexity. If the assumption of the elliptical symmetry holds, this method is equivalent to the Bayes optimal rule. Some simulated data sets as well as real example have been used to evaluate the performance of these depth-based classifiers.

Keywords:

Depth Function , Classification‎‎ , Bayes Optimal Rule , ‎Elliptical Symmetry

Language:
Persian
Published:
Journal of Statistical Sciences, Volume:17 Issue: 2, 2024
Pages:
317 to 332
https://www.magiran.com/p2725192