Clustering methods

Clustering methods are techniques used to group similar items together based on shared characteristics. Imagine sorting books into categories like fiction, non-fiction, and mystery. In data analysis, clustering helps to identify patterns and relationships within large datasets by automatically organizing the data into clusters, where each cluster contains items that are more similar to each other than to those in other clusters. This is useful in various fields, such as marketing for customer segmentation or biology for classifying species, as it helps to uncover insights and make informed decisions.