Computer ScienceMathematics

Houyem Demni, Amor Messaoud, G. C. Porzio

2019Studies in Classification, Data Analysis, and Knowledge Organization

DOI: 10.1007/978-3-030-25147-5_4

tlooto Summary

This work introduces a cosine depth based distribution method which aims at assigning directional data to classes, given that a training set with class labels is already available.

Abstract

Abstract is not available.

Citation format

DEMNI, Houyem; MESSAOUD, Amor; PORZIO, G. C. The cosine depth distribution classifier for directional data. Studies in Classification, Data Analysis, and Knowledge Organization, 2019.