Удосконалення алгоритму SOM для забезпечення стабільності та відтворюваності результатів кластеризації даних
The article proposes a method to improve the Kohonen Self-Organizing Map (SOM) learning algorithm to ensure the stability and reproducibility of clustering results, an urgent task when working with large amounts of data. SOM is widely used in clustering and visualization tasks, especially in applica...
Saved in:
| Date: | 2026 |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2026
|
| Subjects: | |
| Online Access: | https://journal.iasa.kpi.ua/article/view/358080 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | System research and information technologies |
| Download file: |  |