Clustering and Classification Using Recursive Mixture Estimation. Software package

0484197 - ÚTIA 2018 RIV CZ eng L4 - Software
Nagy, Ivan - Suzdaleva, Evženie - Pecherková, Pavla
Clustering and Classification Using Recursive Mixture Estimation. Software package.
Internal code: 20180108T101918Z-001 ; 2018
Technical parameters: software package
Economic 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)
R&D Projects: GA ČR GA15-03564S
Institutional support: RVO:67985556
Keywords : software * mixture-based clustering * recursive mixture estimation
OECD category: Statistics and probability
http://library.utia.cas.cz/separaty/2017/ZS/suzdaleva-0484197.pdf http://library.utia.cas.cz/separaty/2017/ZS/suzdaleva-0484197.zip

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).
Permanent Link: http://hdl.handle.net/11104/0279549