What is the main purpose of clustering in analytics?

The primary purpose of clustering in analytics is to organize documents into meaningful groups, making it easier to retrieve information based on specific characteristics or themes. This technique allows for a more structured approach to data management, enabling users to quickly locate relevant documents based on their needs. By grouping similar items together, clustering enhances the efficiency of searches and improves the overall user experience in navigating large datasets. This method is commonly utilized in various fields, including information retrieval, data mining, and machine learning, to derive insights from complex datasets and to facilitate better decision-making processes.