bibtype C - Conference Paper (international conference)
ARLID 0476595
utime 20240111140943.5
mtime 20170731235959.9
SCOPUS 85029307166
DOI 10.5220/0006417104490458
title (primary) (eng) Initialization of Recursive Mixture-based Clustering with Uniform Components
specification
page_count 10 s.
media_type C
serial
ARLID cav_un_epca*0476594
ISBN 978-989-758-263-9
title Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2017)
part_title Volume 1
page_num 449-458
publisher
place Setúbal
name SCITEPRESS
year 2017
keyword Mixture-based Clustering
keyword Recursive Mixture Estimation
keyword Uniform Components
author (primary)
ARLID cav_un_auth*0108105
name1 Suzdaleva
name2 Evgenia
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
country RU
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101167
name1 Nagy
name2 Ivan
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
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.
author
ARLID cav_un_auth*0330517
name1 Likhonina
name2 Raissa
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_type pdf
url http://library.utia.cas.cz/separaty/2017/ZS/suzdaleva-0476595.pdf
cas_special
project
ARLID cav_un_auth*0321440
project_id GA15-03564S
agency GA ČR
abstract (eng) The paper deals with a task of initialization of the recursive mixture estimation for the case of uniform components. This task is significant as a part of mixture-based clustering, where data clusters are described by the uniform distributions. The issue is extensively explored for normal components. However, sometimes the assumption of normality is not suitable or limits potential application areas (e.g., in the case of data with fixed bounds). The use of uniform components can be beneficial for these cases. Initialization is always a critical task of the mixture estimation. Within the considered recursive estimation algorithm the key point of its initialization is a choice of initial statistics of components. The paper explores several initialization approaches and compares results of clustering with a theoretical counterpart. Experiments with real data are demonstrated.
action
ARLID cav_un_auth*0348184
name The 14th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2017)
dates 20170726
mrcbC20-s 20170728
place Madrid
country ES
RIV BB
FORD0 10000
FORD1 10100
FORD2 10103
reportyear 2018
num_of_auth 4
mrcbC52 4 A hod 4ah 20231122142550.2
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0273534
mrcbC64 1 Department of Signal Processing UTIA-B 10103 STATISTICS & PROBABILITY
confidential S
arlyear 2017
mrcbTft \nSoubory v repozitáři: suzdaleva-0476595.pdf
mrcbU14 85029307166 SCOPUS
mrcbU24 PUBMED
mrcbU34 WOS
mrcbU56 pdf
mrcbU63 cav_un_epca*0476594 Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2017) Volume 1 978-989-758-263-9 449 458 Setúbal SCITEPRESS 2017