Clustering, Artificial Intelligence, Machine Learning, AI, Data Science.
Hierarchical Clustering Hierarchical Clustering is a method of grouping data points based on their similarities. It creates a hierarchy of clusters by either merging or dividing the existing ones. There are two types of Hierarchical Clustering: Agglomerative (bottom-up) and Divisive (top-down).