Instruments and Systems: Monitoring, Control, and Diagnostics Annotation << Back Review and Analysis of Big Data Clustering Algorithms A.A. AL-RAMMAHI, YU.YU. GROMOV, E.V. KOSHELEV, YU.V. MININ Clustering algorithms are a powerful tool for analyzing large amounts of data, dividing that data into clusters so that objects are grouped into one cluster when they are similar in certain metrics. A large number of methods and algorithms have been developed to solve this problem. The problem of choosing specific algorithms for processing big data remains an urgent problem. The paper presents an attempt to classify existing methods and algorithms, as well as an analysis of their application for processing big data, based on a comparison of their performance indicators. Keywords: clustering, big data, classification, criterion. DOI: 10.25791/pribor.9.2021.1292 Pp. 30-38.