| bibtype |
M -
Monography Chapter
|
| ARLID |
0491344 |
| utime |
20240103220248.0 |
| mtime |
20180724235959.9 |
| SCOPUS |
85049685686 |
| WOS |
000466552900015 |
| DOI |
10.1007/978-3-319-78437-3_14 |
| title
(primary) (eng) |
Clustering Non-Gaussian Data Using Mixture Estimation with Uniform Components |
| specification |
| book_pages |
330 |
| page_count |
17 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0491343 |
| ISBN |
978-3-319-78436-6 |
| title
|
Practical Issues of Intelligent Innovations. Studies in Systems, Decision and Control |
| page_num |
313-330 |
| publisher |
| place |
Cham |
| name |
Springer |
| year |
2018 |
|
| editor |
|
| editor |
|
| editor |
|
|
| keyword |
non-Gaussian data |
| keyword |
mixture estimation |
| keyword |
uniform components |
| author
(primary) |
| ARLID |
cav_un_auth*0101167 |
| name1 |
Nagy |
| name2 |
Ivan |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování signálů |
| full_dept (eng) |
Department of Signal Processing |
| department (cz) |
ZS |
| department (eng) |
ZS |
| full_dept |
Department of Signal Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0108105 |
| name1 |
Suzdaleva |
| name2 |
Evgenia |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování signálů |
| full_dept |
Department of Signal Processing |
| department (cz) |
ZS |
| department |
ZS |
| full_dept |
Department of Signal Processing |
| country |
RU |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0321440 |
| project_id |
GA15-03564S |
| agency |
GA ČR |
|
| abstract
(eng) |
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. |
| RIV |
BB |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10103 |
| reportyear |
2019 |
| num_of_auth |
2 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0285514 |
| confidential |
S |
| mrcbC83 |
RIV/67985556:_____/18:00491344!RIV19-AV0-67985556 192095190 Doplnění UT WOS a Scopus |
| mrcbC83 |
RIV/67985556:_____/18:00491344!RIV19-GA0-67985556 192084144 Doplnění UT WOS a Scopus |
| mrcbC86 |
3+4 Article Automation Control Systems|Computer Science Artificial Intelligence|Engineering Electrical Electronic |
| arlyear |
2018 |
| mrcbU14 |
85049685686 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000466552900015 WOS |
| mrcbU63 |
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 |
| mrcbU67 |
340 Sgurev V. |
| mrcbU67 |
340 Jotsov V. |
| mrcbU67 |
340 Kacprzyk J. |
|