Робастна кластеризація великих даних методом стохастичного квантування
This paper addresses the limitations of traditional vector quantization (clustering) algorithms, particularly K-means and its variant K-means++, and explores the stochastic quantization (SQ) algorithm as a scalable alternative for high-dimensional unsupervised and semi-supervised learning problems....
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| Date: | 2025 |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
V.M. Glushkov Institute of Cybernetics of NAS of Ukraine
2025
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| Subjects: | |
| Online Access: | https://jais.net.ua/index.php/files/article/view/438 |
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| Journal Title: | Problems of Control and Informatics |