| Issue |
E3S Web of Conf.
Volume 390, 2023
VIII International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-VIII 2023)
|
|
|---|---|---|
| Article Number | 03003 | |
| Number of page(s) | 5 | |
| Section | Information Technologies, Automation Engineering and Digitization of Agriculture | |
| DOI | https://doi.org/10.1051/e3sconf/202339003003 | |
| Published online | 01 June 2023 | |
On the application of one approach for data clustering in the agro-industrial complex
1 Siberian Federal University, 79, Svobodny av., Krasnoyarsk, 660041, Russian Federation
2 Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy av., Krasnoyarsk, 660037, Russian Federation
* Corresponding author: ris2005@mail.ru
The paper presents an approach to the automatic grouping algorithms development based on parametric optimization models for processing high-volume data in the agrarian and industrial complex. Combined search algorithms with alternating randomized neighborhoods show much more stable results (give a smaller minimum value, and also have a low standard deviation of the target function) and hence better performance compared to known (so-called classical) algorithms, such as j-means and k-means.
© The Authors, published by EDP Sciences, 2023
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