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Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2018, Issue 1, Pages 16–21 (Mi itvs298)  
INTELLIGENT SYSTEMS AND TECHNOLOGIES

Data structuring for nonnumeric objects

A. A. Dorofeyukab, I. V. Pokrovskayaa, A. L. Chernyavskya

a V.A.Trapeznikov's Institute of Control Sciences of RAS, Moscow
b Institute for System Analysis of the Federal Research Center «Information and Control», RAS, Moscow
Full-text PDF (302 kB)
Abstract: For clustering of the nonnumeric objects the similarity matrix of the expert judgments is used. The clustering is performed by diagonalization of similarity matrix. The variational and the heuristic diagonalization algorithms are proposed.
Keywords: nonnumeric objects, similarity matrix, cluster-analysis.
Funding agency Grant number
Russian Foundation for Basic Research 17-07-00857-à
15-07-06713-à
16-07-00896-à
16-07-00895-à
16-29-12880-îôè
16-29-12895-îôè
16-29-12943-îôè
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. A. Dorofeyuk, I. V. Pokrovskaya, A. L. Chernyavsky, “Data structuring for nonnumeric objects”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2018, no. 1, 16–21
Citation in format AMSBIB
\Bibitem{DorPokChe18}
\by A.~A.~Dorofeyuk, I.~V.~Pokrovskaya, A.~L.~Chernyavsky
\paper Data structuring for nonnumeric objects
\jour Informatsionnye Tekhnologii i Vychslitel'nye Sistemy
\yr 2018
\issue 1
\pages 16--21
\mathnet{http://mi.mathnet.ru/itvs298}
\elib{https://elibrary.ru/item.asp?id=32660141}
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