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This article is cited in 3 scientific papers (total in 3 papers)
TECHNICAL SCIENCE
Application of neural networks for data clustering
R. A. Zhilov Institute of Applied Mathematics and Automation –
branch of the FSBSE «Federal Scientific Center
«Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences»,
360000, KBR, Nalchik, 89 A Shortanov str.
Abstract:
In this paper, we consider the use of neural networks of various structures to solve the problem of dividing objects according to similar features into an unknown number of classes in advance. Cluster analysis is used to analyze large amounts of data for hidden patterns and to visualize the data structure for greater clarity. The use of artificial neural networks to solve the clustering problem is justified due to
their specifics of work. Depending on the type of data belonging to clustering and on the specifics of the
task, it is appropriate to use various structures of neural networks.
Keywords:
data clustering, neural networks, sigma-pi neural networks, cluster analysis, Kohonen networks, multilayer perceptron, training set.
Received: 09.02.2021
Citation:
R. A. Zhilov, “Application of neural networks for data clustering”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2021, no. 1, 15–19
Linking options:
https://www.mathnet.ru/eng/izkab257 https://www.mathnet.ru/eng/izkab/y2021/i1/p15
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Abstract page: | 244 | Full-text PDF : | 796 | References: | 18 |
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