What is Hierarchical Clustering?

Build cluster hierarchies with dendrograms. Hierarchical Clustering is a intermediate machine learning algorithm used for discovering patterns in unlabeled data. Before learning Hierarchical Clustering, you should understand: kmeans, trees-traversals. Real-world applications include: Taxonomy, Gene expression, Social network analysis. This builds on foundational concepts and requires some background knowledge.