Abstract
This paper considers the conceptual apparatus, basic ideas, structure, and some features of the establishment and development of a new area of research that emerged at the intersection of measurement theory and applied statistics. Examples and methods of solution of problems of classification measurements of random signal distribution shapes and the state of rechargeable batteries based on the use of categorical measurement scales are described.
Similar content being viewed by others
References
Yu.N. Klikushin, “Methodology of Identification of Measurements,” in Identification, Measurement of Characteristics, and Simulation of Random Signals: Proc. Intern. Conf. III-2009 (Izd. Kvant, Novosibirsk, 2009), pp. 44–47.
V. V. Gubarev, Computer Science: Past, Present, and Future (Tekhnosfera, Moscow, 2011) [in Russian].
N. G. Zagoruiko, Applied Methods of Data and Knowledge Analysis (Institute of Mathematics, Novosibirsk, 1999) [in Russian].
S. A. Aivazyan and V. S. Mkhitaryan, Applied Statistics and Foundations of Econometrics (UNITI, Moscow, 1998) [in Russian].
I. A. Borisova and N. G. Zagoruiko, “Feature Selection by Using the FRIS-Function in the Task of Generalized Classification,” Pattern Recogn. and Image Analys. 21(2), 117–120 (2011).
V. V. Gubarev Algorithms for Spectral Analysis of Random Signals (Izd. NGTU, Novosibirsk, 2005) [in Russian].
F. P. Tarasenko, Applied System Analysis (Izd. TGU, Tomsk, 2004) [in Russian].
A. V. Lapko and V. A. Lapko, “Comparison of Empirical and Theoretical Distribution Functions of a Random Variable on the Basis of a Nonparametric Classifier,” Avtometriya 48(1), 45–49 (2012) [Optoelectron., Instrum. Data Process. 48 (1), 37–41 (2012)].
V. S. Sidorova, “Clustering Algorithm for Texture Data from Remote Sensing,” Avtometriya 46(5), 43–52 (2010) [Optoelectron., Instrum. Data Process. 46 (5), 435–442 (2010)].
V. V. Asmus, A. A. Buchnev, and V. P. Pyatkin, “Cluster Analysis of Earth Remote Sensing Data,” Avtometriya 46(2), 58–66 (2010) [Optoelectron., Instrum. Data Process. 46 (2), 149–155 (2010)].
D. O. Sokolova and A. A. Spektor, “Classification of Moving Objects Based on Spectral Features Seismic Signals,” Avtometriya 48(5), 112–119 (2012) [Optoelectron., Instrum. Data Process. 48 (5), 522–528 (2012)].
V. V. Gubarev, Probabilistic Models. Handbook (NETI, Novosibirsk, 1992), Pt 1, p. 196; Pt 2, pp. 197–421.
V. V. Gubarev, “Random Functions with Nonlinear Regression and Their Application,” Avtometriya 47(6), 39–50 (2011) [Optoelectron. Instrum. Data Process. 47 (6), 556–566 (2011)].
V. A. Zakharenko, Yu. N. Klikushin, V. Yu. Kobenko, and S. A. Orlov, “Classification of Objects Using the International Temperature Scale of 1990 (ITS-90),” Kontrol. Diagnostika, No. 7, 43–49 (2012).
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © V.V. Gubarev, A.A. Gorshenkov, Yu.N. Klikushin, V.Yu. Kobenko, 2013, published in Avtometriya, 2013, Vol. 49, No. 2, pp. 76–84.
About this article
Cite this article
Gubarev, V.V., Gorshenkov, A.A., Klikushin, Y.N. et al. Classification measurements: Methods and implementation. Optoelectron.Instrument.Proc. 49, 171–177 (2013). https://doi.org/10.3103/S875669901302009X
Received:
Published:
Issue Date:
DOI: https://doi.org/10.3103/S875669901302009X