| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0478195 |
| utime |
20240111140946.2 |
| mtime |
20170920235959.9 |
| SCOPUS |
85040192839 |
| WOS |
000427311500056 |
| DOI |
10.1109/SISY.2017.8080574 |
| title
(primary) (eng) |
Clustering with a Model of Sub-Mixtures of Different Distributions |
| specification |
| page_count |
6 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0478194 |
| ISBN |
978-1-5386-3854-5 |
| title
|
Proceedings of IEEE 15th International Symposium on Intelligent Systems and Informatics SISY 2017 |
| page_num |
315-320 |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2017 |
|
|
| keyword |
clustering |
| keyword |
sub-mixtures |
| keyword |
different distributions |
| 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. |
|
| author
|
| ARLID |
cav_un_auth*0349960 |
| name1 |
Petrouš |
| name2 |
Matej |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování signálů |
| full_dept |
Department of Signal Processing |
| department (cz) |
ZS |
| department |
ZS |
| 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 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. |
| action |
| ARLID |
cav_un_auth*0349961 |
| name |
IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY 2017) |
| dates |
20170914 |
| mrcbC20-s |
20170916 |
| place |
Subotica |
| country |
RS |
|
| RIV |
BB |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2018 |
| num_of_auth |
3 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0274423 |
| confidential |
S |
| mrcbC83 |
RIV/67985556:_____/17:00478195!RIV18-AV0-67985556 191975690 Doplnění UT WOS |
| mrcbC83 |
RIV/67985556:_____/17:00478195!RIV18-GA0-67985556 191965026 Doplnění UT WOS |
| mrcbC86 |
n.a. Proceedings Paper Automation Control Systems|Computer Science Artificial Intelligence|Computer Science Information Systems |
| mrcbC86 |
n.a. Proceedings Paper Automation Control Systems|Computer Science Artificial Intelligence|Computer Science Information Systems |
| mrcbC86 |
n.a. Proceedings Paper Automation Control Systems|Computer Science Artificial Intelligence|Computer Science Information Systems |
| arlyear |
2017 |
| mrcbU14 |
85040192839 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000427311500056 WOS |
| mrcbU56 |
pdf |
| mrcbU63 |
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 |
|