Cutting the dendrogram through permutation tests

This paper introduces an innovative approach for detecting a sub optimal partition starting from the dendrogram produced by a hierarchical clustering technique. The approach exploits permutation tests and it can be used regard less of the agglomeration method and distance measure used in the classification process because it relies on the same criteria used for producing it. Moreover, the proposed approach can detect partitions not necessarily identiable using a traditional cut approach, as the resulting clusters could correspond to different heights of the tree.