Development of a Method for User Segmentation using Clustering Algorithms and Advanced Analytics

The article is devoted to the creation of an effective solution for user segmentation. presents analysis existing segmentation services, approaches (ABCDx segmentation, demographic based on a journey map), clustering algorithms (K-means, Mini-Batch K-means, DBSCAN, Agglomerative Clustering, Spectral Clustering). study these areas aimed at creating “flexible” that adapts each sample. Dispersion (ANOVA test), metrics also used assess quality With help areas, has been developed using advanced analytics and machine learning technology.