0478195 20240111140946.220170920235959.9 85040192839 000427311500056 10.1109/SISY.2017.8080574 Clustering with a Model of Sub-Mixtures of Different Distributions 6 s. C cav_un_epca*0478194978-1-5386-3854-5Proceedings of IEEE 15th International Symposium on Intelligent Systems and Informatics SISY 2017315-320PiscatawayIEEE2017 clustering sub-mixtures different distributions cav_un_auth*0101167 Nagy Ivan UTIA-B Zpracování signálů Department of Signal Processing ZS ZS Department of Signal Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0108105 Suzdaleva Evgenia UTIA-B Zpracování signálů Department of Signal Processing ZS ZS Department of Signal Processing RU Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0349960 Petrouš Matej UTIA-B Zpracování signálů Department of Signal Processing ZS ZS Ústav teorie informace a automatizace AV ČR, v. v. i. pdf http://library.utia.cas.cz/separaty/2017/ZS/nagy-0478195.pdf cav_un_auth*0321440 GA15-03564S GA ČR This paper deals with a modeling of data by several mixtures of different distributions within a task of clustering. This issue can be required from a practical point of view, e.g., for a multi-modal system, which generates measurements described by different distributions. The approach is based on the partition of the data on several parts, the factorization of the joint probability density function according to these parts and the estimation of each conditional mixture separately. Due to the data-based construction of the general model from the estimated components, the most suitable combination of the components is used at each time instant. The illustrative experiments are demonstrated. cav_un_auth*0349961 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY 2017) 20170914 20170916 Subotica RS BB 10000 10200 10201 2018 3 PR RVO:67985556 http://hdl.handle.net/11104/0274423 S RIV/67985556:_____/17:00478195!RIV18-AV0-67985556 191975690 Doplnění UT WOS RIV/67985556:_____/17:00478195!RIV18-GA0-67985556 191965026 Doplnění UT WOS n.a. Proceedings Paper Automation Control Systems|Computer Science Artificial Intelligence|Computer Science Information Systems n.a. Proceedings Paper Automation Control Systems|Computer Science Artificial Intelligence|Computer Science Information Systems n.a. Proceedings Paper Automation Control Systems|Computer Science Artificial Intelligence|Computer Science Information Systems 2017 85040192839 SCOPUS PUBMED 000427311500056 WOS pdf cav_un_epca*0478194 Proceedings of IEEE 15th International Symposium on Intelligent Systems and Informatics SISY 2017 978-1-5386-3854-5 315 320 Piscataway IEEE 2017