Directional data classification using a hierarchical model of von Mises distribution

TitreDirectional data classification using a hierarchical model of von Mises distribution
Publication TypeConference Paper
Year of Publication2017
AuthorsBenlakhdar, S, Rziza, M, Thami, ROH
Conference NameACM International Conference Proceeding Series

The von Mises distribution1 VM -pdf is a continuous probability distribution on the circle used in directional statistics. A mixture model of von Mises distribution, which is broad enough to cover symmetry as well as asymmetry, unimodality as well as multimodality of circular data. In this paper we use a model comprised of a hierarchical von Mises mixture distribution mode HmvM- pdf where we consider each class is itself the result of a mixture of subclasses. The parameters of our model are estimated using the expectation maximization algorithm EM modified. The HmvM- pdf model achieves higher accuracy than the mvM model and offer a rich modeling. The suitability of the distributions is judged from the coefficient of determination R2. © 2017 Association for Computing Machinery.




Suivez-nous sur




Avenue Mohammed Ben Abdallah Regragui, Madinat Al Irfane, BP 713, Agdal Rabat, Maroc

Résultat de recherche d'images pour "icone fax" Télécopie : (+212) 5 37 77 72 30

    Compteur de visiteurs:374,526
    Education - This is a contributing Drupal Theme
    Design by WeebPal.