Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/233367| Title: | New method to minimize the stress in multidimensional scaling |
| Authors: | Dzemyda, G. Sabaliauskas, M. |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика |
| Issue Date: | 2019 |
| Publisher: | Minsk : BSU |
| Citation: | Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the Twelfth Intern. Conf., Minsk, Sept. 18-22, 2019. – Minsk : BSU, 2019. – P. 29-31. |
| Abstract: | A novel geometric interpretation of the stress function and multidimensional scaling in general (GMDS) has been discused. Following this interpretation, the step size and direction forward the minimum of the stress function are found analytically for a separate point without reference to the analytical expression of the stress function, numerical evaluation of its derivatives and the linear search. |
| URI: | http://elib.bsu.by/handle/123456789/233367 |
| ISBN: | 978-985-566-811-5 |
| Appears in Collections: | 2019. Computer Data Analysis and Modeling : Stochastics and Data Science |
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