Directional Data Classification Using a Hierarchical Model of Von Mises Distribution
Article No.: 69, Pages 1 - 6
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.
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- Directional Data Classification Using a Hierarchical Model of Von Mises Distribution
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Published In
March 2017
685 pages
ISBN:9781450348522
DOI:10.1145/3090354
- Conference Chairs:
- Mohamed Lazaar,
- Youness Tabii,
- Mohamed Chrayah,
- Mohammed Al Achhab
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- Ministère de I'enseignement supérieur: Ministère de I'enseignement supérieur
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Association for Computing Machinery
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Published: 29 March 2017
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BDCA'17
BDCA'17: 2nd international Conference on Big Data, Cloud and Applications
March 29 - 30, 2017
Tetouan, Morocco
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