Based on these similarity values, we clustered the summarisation configurations using "oblivious" hierarchical agglomerative clustering over the three attributes of summarisation algorithm (binarised into the individual algorithms), pronoun filtering and content diversification.
we calculated the single attribute which leads to the (weighted) purest partitioning of the data at each level of the dendrogram in a bottom-up fashion.