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Article ID: CBB001021412

Some Topics of Current Interest in Clustering: Russian Approaches 1960--1985 (2008)

Mirkin, Boris (Author)
Muchnik, Ilya (Author)

Journal Electronique d'Histoire des Probabilités et de la Statistique
Volume: 4, no. 2
Issue: 2

Publication Date: 2008
Edition Details: http://www.jehps.net/Decembre2008/Mirkin.pdf (Accessed on November 29, 2010). Part of a special issue, “About the History of Multivariate Exploratory Data Analysis”
Language: English

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Computer science Bibliographies Computers and computing Mathematics Data analysis 20th century, late Russia

Early developments in data analysis in Russia, and in the Soviet Union in general have been well separated by the rather tight iron curtain through all of the covered period. However, they generally followed the international developments, because some monographs were translated into Russian, best journals reached a few libraries with a lag of one-two years, and a few Soviet scientists did attend some conferences: the international framework distinguishing between factor analysis, pattern recognition and clustering prevailed. Yet there have been a number of indigenous developments of which by far the most popular has become the structural risk minimization by V. Vapnik and Chervonenkis (Vapnik and Chervonenkis 1974) along with the concept of VC-complexity and the method of generalized portrait (Vapnik and Lerner1963) later, in 90-es, extended to the renowned Support Vector Machine (SVM) with nonlinear kernels -- the latter was proposed as a tool for supervised and unsupervised learning by Bashkirov, Braverman and Muchnik (1964) under the name of potential functions; for further developments, mostly extending the perceptron framework, see Aizerman, Braverman, and Rozonoer (1970). Much less known are the following contributions:

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Article Lebart, Ludovic (2008) Exploratory Multivariate Data Analysis from Its Origins to 1980: Nine Contributions. Journal Electronique d'Histoire des Probabilités et de la Statistique. unapi

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