| Issue |
E3S Web Conf.
Volume 419, 2023
V International Scientific Forum on Computer and Energy Sciences (WFCES 2023)
|
|
|---|---|---|
| Article Number | 02025 | |
| Number of page(s) | 7 | |
| Section | Applied IT Technologies in Energy and Industry | |
| DOI | https://doi.org/10.1051/e3sconf/202341902025 | |
| Published online | 25 August 2023 | |
Comparative analysis of experimental data clustering in MATLAB and Python environment
1 Siberian Federal Scientific Centre of AgroBioTechnologies of RAS, 630501 Krasnoobsk, Russia
2 Novosibirsk State Technical University, 630073 Novosibirsk, Russia
* Corresponding author: seroklinov@mail.ru
The paper compares normalization and clustering methods for processing experimental data in the MATLAB package and a Python program using the scikit-learn library. Recommendations on further application of Python programs and selection of normalization and clustering methods are provided. The choice of clustering methods for further research is discussed.
© The Authors, published by EDP Sciences, 2023
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