Initialization of Recursive Mixture-based Clustering with Uniform Components

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F17%3A00476595" target="_blank" >RIV/67985556:_____/17:00476595 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5220/0006417104490458" target="_blank" >http://dx.doi.org/10.5220/0006417104490458</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0006417104490458" target="_blank" >10.5220/0006417104490458</a>

Result language
angličtina
Original language name
Initialization of Recursive Mixture-based Clustering with Uniform Components
Original language description
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.
Czech name
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Czech description
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Project
<a href="/en/project/GA15-03564S" target="_blank" >GA15-03564S: Clustering and classification using recursive mixture estimation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2017)
ISBN
978-989-758-263-9
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
449-458
Publisher name
SCITEPRESS
Place of publication
Setúbal
Event location
Madrid
Event date
Jul 26, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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