Several algorithms can be used for clustering in email marketing:
K-means Clustering: This algorithm partitions subscribers into K distinct clusters based on the nearest mean. Hierarchical Clustering: This method builds a hierarchy of clusters, useful for understanding the nested structure of segments. DBSCAN: Density-Based Spatial Clustering of Applications with Noise is effective for finding arbitrarily shaped clusters.