What is hierarchical clustering?

Hierarchical clustering is an unsupervised learning method that creates a tree-like structure (dendrogram) of nested clusters. It can be agglomerative (bottom-up) or divisive (top-down). It is used for finding clusters with varying shapes and sizes.