These prototypes can be used to greatly enhance the interpretability of a hierarchical clustering. Furthermore, we prove that minimax linkage has a number of desirable theoretical properties; for ...

(2) Five hierarchical clustering techniques are compared: complete linkage clustering, the unweighted pair group method using arithmetic averages, minimization of within-group dispersion, two-way ...

Then, several popular clustering techniques such as Agglomerative hierarchical clustering, K-means clustering algorithm, Partitioning around medoids, and Density-based clustering will be introduced.