Analysis of the Applicability of Machine Learning Methods in Solving the Problem of Predicting the Implementation of Cluster Batching Factors

The scenarios of cluster partitioning are described and an approach is proposed that involves adding a special node to the cluster in order to predict the onset of a state preceding the cluster partitioning. Based on the results of the analysis of machine learning algorithms, the algorithms that are appropriate for solving the problem of preventing the occurrence of critical states of a cyber-physical system in the context of network partitioning are identified.