BIRCH

BIRCH (Balanced Iterative Reducing and Clustering using Hierarchies) is a data clustering algorithm designed to efficiently group large datasets. It builds a tree-like structure called a CF tree that summarizes data points, allowing quick identification of natural clusters. As new data arrives, BIRCH updates this tree, enabling scalable and incremental clustering without needing to revisit all data repeatedly. It's especially useful when handling massive amounts of data where traditional clustering methods become slow or impractical. By summarizing data effectively, BIRCH finds meaningful groupings quickly, making it valuable for real-world applications like customer segmentation and pattern recognition.