Agglomerative Clustering

A hierarchical clustering method that starts by treating each data point as its own cluster and then repeatedly merges the closest clusters until a stopping condition is reached. It is useful when the goal is not just to assign points to groups, but to understand the nested structure of similarity within a dataset.