X-means

X-means is a clustering algorithm that automatically determines the best number of groups (clusters) in a dataset. Unlike traditional methods that require you to specify the number of clusters beforehand, X-means starts with an initial guess and then evaluates if splitting a cluster improves its grouping based on statistical criteria. It iteratively refines the clusters, adding or merging groups as needed, to find the most appropriate segmentation. This makes it useful for exploring data where the optimal number of clusters isn't known in advance, providing a more adaptive and data-driven approach to grouping similar data points.