D. A. Deviatkin, R. E. Suvorov, I. V. Sochenkov, “A method for topic clustering for large science publication collections”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2013, no. 1, 33

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Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2013, Issue 1, Pages 33–42 (Mi itvs105)

DATA PROCESSING

A method for topic clustering for large science publication collections

D. A. Deviatkin^ab, R. E. Suvorov^ab, I. V. Sochenkov^ba

^a LLC "TSA"
^b Institute for Systems Analysis of Russian Academy of Sciences

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Abstract: The article covers research in the field of topic clustering for large science publication collections. Demands of developing such methods are considered. The method and the algorithm for topic clustering for large science publication amounts are presented. A comparison of the proposed method with classic clustering approaches is performed.

Keywords: text clustering, text classification, lexical descriptors, text spectral index, inverted spectral index, TF, IDF, topic importance characteristic, assessment of clustering methods.

Document Type: Article

Language: Russian

Citation: D. A. Deviatkin, R. E. Suvorov, I. V. Sochenkov, “A method for topic clustering for large science publication collections”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2013, no. 1, 33–42

Citation in format AMSBIB

\Bibitem{DevSuvSoc13}

\by D.~A.~Deviatkin, R.~E.~Suvorov, I.~V.~Sochenkov

\paper A method for topic clustering for large science publication collections

\jour Informatsionnye  Tekhnologii i Vychslitel'nye Sistemy

\yr 2013

\issue 1

\pages 33--42

\mathnet{http://mi.mathnet.ru/itvs105}

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https://www.mathnet.ru/eng/itvs105

https://www.mathnet.ru/eng/itvs/y2013/i1/p33

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