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SECTION B

A new approach for multivariate data modelling in orthogonal geometry

Pages 2011-2021 | Received 12 Aug 2013, Accepted 30 Jun 2014, Published online: 01 Aug 2014

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L. Bayón & R. García-Rubio. (2015) New computational and statistical models in science and economics. International Journal of Computer Mathematics 92:9, pages 1729-1732.
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Evrim Korkmaz Özay & Burcu Tunga. (2022) Hyperspectral image denoising with enhanced multivariance product representation. Signal, Image and Video Processing 16:4, pages 1127-1133.
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Evrim Korkmaz Özay & Burcu Tunga. (2021) A novel method for multispectral image pansharpening based on high dimensional model representation. Expert Systems with Applications 170, pages 114512.
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Payam Asadi & Hosein Sourani. (2019) Fragility curves production by seismic improvement of the high-dimensional model representation method. Engineering Computations 37:1, pages 120-143.
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Burcu Tunga. (2018) A hybrid algorithm with cluster analysis in modelling high dimensional data. Discrete Applied Mathematics 235, pages 161-168.
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Süha Tuna & Metin Demiralp. (2017) Zero interval limit perturbation expansion for the spectral entities of Hilbert-Schmidt operators combined with most dominant spectral component extraction: convergence and confirmative implementations. Journal of Mathematical Chemistry 55:6, pages 1278-1300.
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Metin Demiralp & Süha Tuna. (2017) Zero interval limit perturbation expansion for the spectral entities of Hilbert–Schmidt operators combined with most dominant spectral component extraction: formulation and certain technicalities. Journal of Mathematical Chemistry 55:6, pages 1253-1277.
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Evrim Korkmaz Özay & Metin Demiralp. (2016) Weighted tridiagonal matrix enhanced multivariance products representation (WTMEMPR) for decomposition of multiway arrays: applications on certain chemical system data sets. Journal of Mathematical Chemistry 55:2, pages 455-476.
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Ayla Okan & Metin Demiralp. Recursive bivariate enhanced multivariance products representation to tridiagonalize arrowheaded matrices: Tridiagonal matrix enhanced multivariance products representation (TMEMPR) with weight considerations. Recursive bivariate enhanced multivariance products representation to tridiagonalize arrowheaded matrices: Tridiagonal matrix enhanced multivariance products representation (TMEMPR) with weight considerations.

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