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Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki, 2005, Volume 45, Number 7, Pages 1321–1328 (Mi zvmmf633)  
Convex cluster stabilization of classification algorithms as a means for finding collective solutions with high generalization ability

D. P. Vetrov, D. A. Kropotov

Dorodnicyn Computing Center Russian Academy of Sciences, ul. Vavilova 40, Moscow, 119991, Russia
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Abstract: A collective solution method in pattern recognition based on the simultaneous improvement of the stability and efficiency (the percentage of correctly classified objects in the learning sample) is generalized. The relationship between the procedure described in the paper and several available methods for constructing collective algorithms that are particular cases of a more general approach is revealed. The practical value of the method is confirmed by solving some well-known classification problems.
Key words: pattern recognition, collective solutions, correction of algorithms, stability of classifiers.
Received: 13.09.2004
Bibliographic databases:
Document Type: Article
UDC: 519.712.63
Language: Russian
Citation: D. P. Vetrov, D. A. Kropotov, “Convex cluster stabilization of classification algorithms as a means for finding collective solutions with high generalization ability”, Zh. Vychisl. Mat. Mat. Fiz., 45:7 (2005), 1321–1328; Comput. Math. Math. Phys., 45:7 (2005), 1276–1282
Citation in format AMSBIB
\Bibitem{VetKro05}
\by D.~P.~Vetrov, D.~A.~Kropotov
\paper Convex cluster stabilization of classification algorithms as a means for finding collective solutions with high generalization ability
\jour Zh. Vychisl. Mat. Mat. Fiz.
\yr 2005
\vol 45
\issue 7
\pages 1321--1328
\mathnet{http://mi.mathnet.ru/zvmmf633}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=2188420}
\zmath{https://zbmath.org/?q=an:1076.68569}
\transl
\jour Comput. Math. Math. Phys.
\yr 2005
\vol 45
\issue 7
\pages 1276--1282
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    		Журнал вычислительной математики и математической физики Computational Mathematics and Mathematical Physics
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