Clustering and Classification Using Recursive Mixture Estimation. Software package

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F18%3A00484197" target="_blank" >RIV/67985556:_____/18:00484197 - isvavai.cz</a>
Result on the web
<a href="http://library.utia.cas.cz/separaty/2017/ZS/suzdaleva-0484197.pdf" target="_blank" >http://library.utia.cas.cz/separaty/2017/ZS/suzdaleva-0484197.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Clustering and Classification Using Recursive Mixture Estimation. Software package
Original language description
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).
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
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Internal product ID
20180108T101918Z-001
Technical parameters
software package
Economical parameters
The main contribution of the project was to propose and implement the algorithms for mixture-based clustering and classi cation for various combinations of components as well as pointer models in the programming free and open source environment Scilab (www.scilab.org)
Owner IČO
67985556
Owner name
ÚTIA AV ČR v.v.i

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