Python for Machine Learning - The Complete Beginners Course - Hierarchical Clustering

Hierarchical clustering is a method of creating clusters with a predetermined order from top to bottom. It is similar to how files and folders are organized on a hard disk. This clustering method allows us to see the relationships between subclusters. There are two main strategies: divisive, which is a top-down approach starting with a large cluster and breaking it into smaller ones, and agglomerative, which is a bottom-up approach where each observation starts in its own cluster and clusters are merged as they move up the hierarchy.

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