Clustering with a Model of Sub-Mixtures of Different Distributions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F17%3A00478195" target="_blank" >RIV/67985556:_____/17:00478195 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/SISY.2017.8080574" target="_blank" >http://dx.doi.org/10.1109/SISY.2017.8080574</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SISY.2017.8080574" target="_blank" >10.1109/SISY.2017.8080574</a>
Alternative languages
Result language
angličtina
Original language name
Clustering with a Model of Sub-Mixtures of Different Distributions
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
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)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of IEEE 15th International Symposium on Intelligent Systems and Informatics SISY 2017
ISBN
978-1-5386-3854-5
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
315-320
Publisher name
IEEE
Place of publication
Piscataway
Event location
Subotica
Event date
Sep 14, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000427311500056