Shape of Basic Clusters: Using Analogues of Hough Transform in Higher Dimensions
- Authors: Laptin Y.P.1, Nelyubina E.A.2, Ryazanov V.V.3, Vinogradov A.P.3
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Affiliations:
- Glushkov Institute of Cybernetics
- Department of Water Resources and Water Use
- Dorodnitsyn Computing Centre
- Issue: Vol 28, No 4 (2018)
- Pages: 664-669
- Section: Proceedings of the 6th International Workshop
- URL: https://journals.rcsi.science/1054-6618/article/view/195471
- DOI: https://doi.org/10.1134/S1054661818040223
- ID: 195471
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Abstract
A new unified method for improving a wide class of linear decision rules is proposed on the basis of using the concept of Generalized Precedent and analogues of Hough transform in higher dimensions.
About the authors
Yu. P. Laptin
Glushkov Institute of Cybernetics
Email: vngrccas@mail.ru
Ukraine, Kiev
E. A. Nelyubina
Department of Water Resources and Water Use
Email: vngrccas@mail.ru
Russian Federation, Kaliningrad
V. V. Ryazanov
Dorodnitsyn Computing Centre
Email: vngrccas@mail.ru
Russian Federation, Vavilov str. 44, Building 2, Moscow, 119333
A. P. Vinogradov
Dorodnitsyn Computing Centre
Author for correspondence.
Email: vngrccas@mail.ru
Russian Federation, Vavilov str. 44, Building 2, Moscow, 119333
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