Intuitionistic Fuzziness and Other Intelligent Theories and Their Applications

0491347 - ÚTIA 2020 RIV DE eng M - Část monografie knihy
Suzdaleva, Evgenia - Nagy, Ivan
Mixture Initialization Based on Prior Data Visual Analysis.
Intuitionistic Fuzziness and Other Intelligent Theories and Their Applications. Cham: Springer, 2019 - (Hadjiski, M.; Atanassov, K.), s. 29-49. Studies in Computational Intelligence, 757. ISBN 978-3-319-78930-9
Grant CEP: GA ČR GA15-03564S
Institucionální podpora: RVO:67985556
Klíčová slova: mixture initialisation * mixture estimation * prior data analysis
Obor OECD: Statistics and probability
http://library.utia.cas.cz/separaty/2018/ZS/suzdaleva-0491347.pdf

The initialization is known to be a critical task for running a mixture estimation algorithm. A majority of approaches existing in the literature are related to initialization of the expectation-maximization algorithm widely used in this area. This study focuses on the initialization of the recursive mixture estimation for the case of normal components, where the mentioned methods are not applicable. Its key part is a choice of the initial statistics of normal components.
Trvalý link: http://hdl.handle.net/11104/0285513