Techniques based on agglomerative hierarchical clustering constitute one of the most
frequent approaches in unsupervised clustering. Some are based on the single linkage
methodology, which has been shown to produce good results with sets of clusters of various
sizes and shapes. However, the application of this type of algorithms in a wide variety of
fields has posed a number of problems, such as the sensitivity to outliers and fluctuations in
the density of data points. Additionally, these algorithms do not usually allow for automatic …