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Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Imprimir: 1064-2315
ISSN On-line: 2163-9337

Volumes:
Volume 51, 2019 Volume 50, 2018 Volume 49, 2017 Volume 48, 2016 Volume 47, 2015 Volume 46, 2014 Volume 45, 2013 Volume 44, 2012 Volume 43, 2011 Volume 42, 2010 Volume 41, 2009 Volume 40, 2008 Volume 39, 2007 Volume 38, 2006 Volume 37, 2005 Volume 36, 2004 Volume 35, 2003 Volume 34, 2002 Volume 33, 2001 Volume 32, 2000 Volume 31, 1999 Volume 30, 1998 Volume 29, 1997 Volume 28, 1996

Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v48.i10.80
pages 74-85

Algorithms for Solving Classification Problems on the Basis of Approximation of Relative Data Depth and Weighted Mean Value

Alexander A. Galkin
Kiev National Taras Shevchenko University, Kiev

RESUMO

Urgent problem of selection of optimal hypothesis in problems of classification with usage of concept of weighted mean value and depth functions is under consideration. Modified algorithms for approximation of relative data depth and relative weighted mean value of distribution were developed and investigated. The suggested algorithms provide polynomial approximations to semispatial data depth and semispatial weighted mean value of distribution, which is special case of family of weighted mean values.

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