Among the hierarchical clustering methods present in Genowiz, how do I choose the best one for my dataset?
A. In single linkage, distance between two clusters is the distance between the two closest objects in two clusters. As it ignores the distance between remote objects in two clusters, it tends to produce chained clusters. It is useful in clustering evolutionarily related entities, for example, taxonomically related species. Complete linkage is the opposite of single linkage and considers distance between two furthest points in two clusters as the distance between them. This is useful when objects of same cluster are expected to be far from each other. This is not recommended if there is a lot of noise in the data. Average linkage uses average of all pairwise distances between points in two clusters as the distance between two clusters. As it doesn’t produce chained clusters and doesn’t give weight to outliers, this is the preferred one in most of the situations.
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