This type of clustering groups together the unlabeled data points having similar characteristics.
Hierarchical clustering treats every data point as a separate cluster.
Then, it repeatedly executes the subsequent steps like, Identify the two clusters which can be closest together, and merging the two maximum comparable clusters.