Publications
Talk · June 16, 2021
Comparison of Data Clustering Methods in the Gas Transportation System
Aigul K. Petrova, Aleksandr Sinitca
Abstract
The article discusses approaches to solving the urgent problem of increasing the efficiency of process control in the gas transmission system. To identify patterns and organize data, clustering algorithms are used, both classical (k-means, etc.) and intelligent (self-organizing maps), the application of these methods to the statistical data of the gas transmission system is discussed in this article.
Advanced Clustering Algorithms ResearchData Mining and Machine Learning ApplicationsFault Detection and Control Systemsclusteringgas transportation systemprocess control
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