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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Bibliographic Details
Date:2025
Main Authors: Kozyriev, Anton, Norkin, Vladimir
Format: Article
Language:English
Published: V.M. Glushkov Institute of Cybernetics of NAS of Ukraine 2025
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Online Access:https://jais.net.ua/index.php/files/article/view/438
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Journal Title:Problems of Control and Informatics

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Problems of Control and Informatics