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
Abstract

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.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85028459799&doi=10.1145%2f3090354.3090425&partnerID=40&md5=ce3dab33a54f11b997bc9f8f24999c78
DOI10.1145/3090354.3090425
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