Hierarchical Clustering builds a hierarchy of clusters either by merging smaller clusters (agglomerative) or splitting larger clusters (divisive). The result is often visualized using a dendrogram, which shows the arrangement of the clusters formed. It’s especially useful for exploring data structure without a predefined number of clusters.