Novel Tools for Monitoring Process Quality: Detection of Anomalies in Digital Data on Content Consumption Using the DBSCAN Clustering Method
摘要
The article describes a step-by-step algorithm for the method of selecting optimal DBSCAN clustering parameters based on analyzing the silhouette score and automatically determining its elbow point, as well as the results of its application to data on content consumption by users of one of the leading hosting services.