Hierarchical Clustering — A Clustering Analysis Method That Organizes Groups into a Tree Structure Based on Data Similarity

Hierarchical Clustering is a clustering analysis method that builds a tree-structured grouping of data by progressively merging or splitting clusters based on similarity. Unlike many standard clustering algorithms, it does not require the number of clusters K to be fixed in advance. Instead, it organizes relationships among data points step by step into a hierarchy represented by a dendrogram.

10/28/2025