Hierarchical Clustering | Vibepedia

Hierarchical clustering is an unsupervised machine learning technique that organizes data into a nested tree structure called a dendrogram, revealing natural groupings without needing a predefined number of clusters. It employs agglomerative bottom-up merging or divisive top-down splitting, powered by distance metrics and linkage criteria like single, complete, or Ward's method. Widely used in fields from biology to customer segmentation, it excels in exploratory data analysis alongside tools like K-means and DBSCAN.