Hierarchical clustering is an unsupervised machine learning algorithm used to group data points into various clusters based on their similarity. Hierarchical clustering creates a hierarchy of clusters, where each cluster can be further divided into smaller clusters. It builds a dendrogram, a tree-like structure to represent the relationships between data points. There is no need… Continue reading Hierarchical Clustering