| bibtype |
L4 -
Prototype, methodology, f. module, software
|
| ARLID |
0484197 |
| utime |
20240103215306.9 |
| mtime |
20180108235959.9 |
| title
(primary) (eng) |
Clustering and Classification Using Recursive Mixture Estimation. Software package |
| publisher |
|
| keyword |
software |
| keyword |
mixture-based clustering |
| keyword |
recursive mixture estimation |
| author
(primary) |
| ARLID |
cav_un_auth*0101167 |
| name1 |
Nagy |
| name2 |
Ivan |
| full_dept (cz) |
Zpracování signálů |
| full_dept (eng) |
Department of Signal Processing |
| department (cz) |
ZS |
| department (eng) |
ZS |
| institution |
UTIA-B |
| full_dept |
Department of Signal Processing |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0355927 |
| name1 |
Suzdaleva |
| name2 |
Evženie |
| full_dept (cz) |
Zpracování signálů |
| full_dept |
Department of Signal Processing |
| department (cz) |
ZS |
| department |
ZS |
| institution |
UTIA-B |
| full_dept |
Department of Signal Processing |
| country |
RU |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0205791 |
| name1 |
Pecherková |
| name2 |
Pavla |
| full_dept (cz) |
Zpracování signálů |
| full_dept |
Department of Signal Processing |
| department (cz) |
ZS |
| department |
ZS |
| institution |
UTIA-B |
| full_dept |
Department of Signal Processing |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0321440 |
| project_id |
GA15-03564S |
| agency |
GA ČR |
|
| abstract
(eng) |
The software package includes programs, which were developed within the project GA ČR GA15-03564S „Clustering and Classification Using Recursive Mixture Estimation“. The main contribution of the project was to propose and implement the algorithms for mixture-based clustering and classification for various combinations of components as well as pointer models in the programming free and open source environment Scilab (www.scilab.org). |
| RIV |
BB |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10103 |
| reportyear |
2018 |
| num_of_auth |
3 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0279549 |
| confidential |
S |
| arlyear |
2018 |
| mrcbU10 |
2018 |
|