Fully Explained BIRCH Clustering for Outliers with Python

This algorithm is used to perform hierarchical clustering based on trees. These trees are called CFT i.e. The full form of BIRCH is Balanced Iterative Reducing Clusters using Hierarchies. The metric use in this cluster to measure the distance is Euclidean distance measurement. When we get a massive dataset and BIRCH is not fulfilling the requirement because of memory constraints of using the whole dataset then we should consider mini-batches of fixed size from the dataset to get reduced runtime.