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Адаптивний Субградієнтного Мультістартовий Метод Кластеризації У Просторі Вейвлет-перетворення

Year: 2019

Type: article

Abstract: The adaptive multi-start sub gradient clustering method in the 0avelet transformed domain for the case, 0hen cluster parameters are linear function of time, is designed. The convergence of this method in a mean squared sense is proved. The recommendations of step choice are designed. Such method allo0s operative ness of the diagnostics raise. The operative ness of the diagnostics is raised.

Source: ELECTRICAL AND COMPUTER SYSTEMS

Authors: Щербакова, Галина Юрьевна, Крылов, Виктор Николаевич, Логвинов, Олег Викторович

Institution: Odesа Polytechnic National University

Language: Russian

Topic: Advanced Clustering Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W7216632139

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