Statistical methods for clustering large volumes of data

In this article one of the statistical methods of clustering large volumes of data is considered - stochastic block model. The principles of model construction and its scope of application are briefly described. In addition, general information about big data and cluster analysis is given. An algorithm that performs the clustering of a random graph using a stochastic block model is proposed, and the corresponding results of its work are presented.