Agglomerative Clustering

Hierarchical clustering is a clustering technique in machine learning where we create nested clusters by merging or dividing iteratively. In this lesson, we’ll explore one of the famous hierarchical clustering techniques called agglomerative clustering. At each step of agglomerative clustering, the closest pair of existing clusters is determined and merged. Starting with individual points as clusters, the algorithm stops after a total of a specified number $k$ of clusters.