0491344 20240103220248.020180724235959.9 85049685686 000466552900015 10.1007/978-3-319-78437-3_14 330 17 s. P cav_un_epca*0491343978-3-319-78436-6313-330ChamSpringer2018SgurevV.JotsovV.KacprzykJ. non-Gaussian data mixture estimation uniform components 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. http://library.utia.cas.cz/separaty/2018/ZS/suzdaleva-0491344.pdf cav_un_auth*0321440 GA15-03564S GA ČR This chapter considers the problem of clustering non-Gaussian data with fixed bounds via recursive mixture estimation under the Bayesian methodology. Here a mixture of uniform distributions is taken, where individual clusters are described by mixture components. The mixture estimation algorithm is based on (i) the update of reproducible statistics of uniform components, (ii) the heuristic initialization via the method of moments, (iii) the non-trivial adaptive forgetting technique, (iv) the data-dependent dynamic pointer model. BB 10000 10100 10103 2019 2 RVO:67985556 http://hdl.handle.net/11104/0285514 S RIV/67985556:_____/18:00491344!RIV19-AV0-67985556 192095190 Doplnění UT WOS a Scopus RIV/67985556:_____/18:00491344!RIV19-GA0-67985556 192084144 Doplnění UT WOS a Scopus 3+4 Article Automation Control Systems|Computer Science Artificial Intelligence|Engineering Electrical Electronic 2018 85049685686 SCOPUS PUBMED 000466552900015 WOS cav_un_epca*0491343 Practical Issues of Intelligent Innovations. Studies in Systems, Decision and Control Springer 2018 Cham 313 330 978-3-319-78436-6 Studies in Systems, Decision and Control 140 340 Sgurev V. 340 Jotsov V. 340 Kacprzyk J.