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Statistical estimation of multiple measures of similarity

  • Mathematical Method in Pattern Recognition
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Abstract

In this paper, statistical estimates for linear-fractional multiple measures of similarity of the K(T, C Δ)-type are considered. Examples of computing multiple similarity measures, their standard errors, and confidence intervals are presented.

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Authors and Affiliations

  1. Pacific Institute of Geography, ul. Radio 7, Vladivostok, 690041, Russia

    B. I. Semkin

  2. Far Eastern Federal University, ul. Sukhanova 8, Vladivostok, 690001, Russia

    M. V. Gorshkov

Authors
  1. B. I. Semkin
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  2. M. V. Gorshkov
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Corresponding author

Correspondence to B. I. Semkin.

Additional information

This article uses the materials of the report submitted at the 11th International Conference “Pattern Recognition and Image Analysis: New Information Technologies,” Samara, Russian Federation, September 23–28, 2013.

Boris Ivanovich Semkin. Born 1938. Graduated from the Far Eastern Federal University in 1962. Received doctoral degree in 1987. Scientific interests: theory of similarity and classification algorithms of descriptive sets. Author of more than 50 papers in this field.

Mikhail Vladimirovich Gorshkov. Born 1980. Graduated from the Vladivostok State University of Economics and Service (Department of Ecology and Natural Management) in 2003. Scientific interests: comparative analysis and information techniques in ecology.

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Semkin, B.I., Gorshkov, M.V. Statistical estimation of multiple measures of similarity. Pattern Recognit. Image Anal. 24, 372–376 (2014). https://doi.org/10.1134/S105466181403016X

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  • DOI: https://doi.org/10.1134/S105466181403016X

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