Computer ScienceMathematics
Houyem Demni, Amor Messaoud, G. C. Porzio
2019Studies in Classification, Data Analysis, and Knowledge Organization
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.