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Avtomatika i Telemekhanika, 2011, Issue 4, Pages 86–98 (Mi at1691)  

This article is cited in 13 scientific papers (total in 13 papers)

Stochastic Systems, Queuing Systems

A randomized algorithm for estimating the number of clusters

O. N. Granichina, D. S. Shalymova, R. Avrosb, Z. Volkovichb

a St. Petersburg State University, St. Petersburg, Russia
b ORT Braude College, Karmiel, Israel
References:
Abstract: Clustering is actively studied in such fields as statistics, pattern recognition, machine training, et al. A new randomized algorithm is suggested and established for finding the number of clusters in the set of data, the efficiency of which is demonstrated by examples of simulation modeling on synthetic data with thousands of clusters.
Presented by the member of Editorial Board: A. V. Nazin

Received: 10.12.2009
English version:
Automation and Remote Control, 2011, Volume 72, Issue 4, Pages 754–765
DOI: https://doi.org/10.1134/S0005117911040072
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: O. N. Granichin, D. S. Shalymov, R. Avros, Z. Volkovich, “A randomized algorithm for estimating the number of clusters”, Avtomat. i Telemekh., 2011, no. 4, 86–98; Autom. Remote Control, 72:4 (2011), 754–765
Citation in format AMSBIB
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\by O.~N.~Granichin, D.~S.~Shalymov, R.~Avros, Z.~Volkovich
\paper A randomized algorithm for estimating the number of clusters
\jour Avtomat. i Telemekh.
\yr 2011
\issue 4
\pages 86--98
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\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=2841652}
\zmath{https://zbmath.org/?q=an:1235.93226}
\transl
\jour Autom. Remote Control
\yr 2011
\vol 72
\issue 4
\pages 754--765
\crossref{https://doi.org/10.1134/S0005117911040072}
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Linking options:
  • https://www.mathnet.ru/eng/at1691
  • https://www.mathnet.ru/eng/at/y2011/i4/p86
  • This publication is cited in the following 13 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Avtomatika i Telemekhanika
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    Abstract page:411
    Full-text PDF :116
    References:45
    First page:6
     
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