Журнал «Современная Наука»

Russian (CIS)English (United Kingdom)
 MOSCOW +7(495)-142-86-81

FEATURES OF THE DEVELOPMENT OF DATA CLUSTERING METHODS AND THEIR PRACTICAL APPLICATION IN INDUSTRY 4.0

Roza Maria Petrovna  (postgraduate student of Siberian State University named after M.F. Reshetnev Krasnoyarsk, Russia)

Dementiev Sergey Yurievich  (postgraduate student of Siberian State University named after M.F. Reshetnev Krasnoyarsk, Russia)

The article discusses the features of the development of data clustering methods and their practical application in the context of Industry 4.0. Modern clustering algorithms such as K-means, DBSCAN, as well as their adaptation to the conditions of a dynamic environment of production processes are analyzed. Special attention is paid to the advantages and disadvantages of each method, as well as the criteria for choosing the appropriate algorithm, depending on the specifics of the data being processed. The practical part of the article includes examples of successful clustering applications in various industries: from predictive maintenance in manufacturing to improving the accuracy of marketing in retail. The trends and future directions of research in the field of data clustering are considered, including the use of machine learning and deep learning algorithms, as well as the need to create adaptive methods capable of working with changing data in real time.

Keywords:data analysis, competitiveness, real data, clustering, Internet of things, artificial intelligence, optimization, adaptive data
 

Read the full article …

Citation link:
Roza M. P., Dementiev S. Y. FEATURES OF THE DEVELOPMENT OF DATA CLUSTERING METHODS AND THEIR PRACTICAL APPLICATION IN INDUSTRY 4.0 // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2025. -№01. -С. 114-120 DOI 10.37882/2223-2966.2025.01.34
LEGAL INFORMATION:
Reproduction of materials is permitted only for non-commercial purposes with reference to the original publication. Protected by the laws of the Russian Federation. Any violations of the law are prosecuted.
© ООО "Научные технологии"

Terms Publications

Issues of the journals (Archive)

ECONOMICS AND LAW
HUMANITIES
NATURAL AND TECHNICAL SCIENCES
COGNITION

Серия - Natural and Technical Sciences