BIRCH (Balanced Iterative Reducing and Clustering Using Hierarchies) - Hierarchical Clustering Algorithm for Large Datasets

BIRCH (Balanced Iterative Reducing and Clustering Using Hierarchies) is an unsupervised data mining algorithm designed for hierarchical clustering of exceptionally large datasets. Its key strength lies in incremental and dynamic clustering capabilities with efficient memory management through CF (Clustering Feature) trees.