In the MediaEval 2016 Retrieving Diverse Social Images Task, we proposed a general framework based on agglomerative hierarchical clustering (AHC). We tested the provided credibility descriptors as a vector input for our AHC. The results on devset showed that this vector based on the credibility descriptors is the best feature, but unfortunately that is not confirmed on testset. To merge several features, we chose to merge feature similarities. Tests on devset showed that to merge similarities using linear or weighted-max operators gave, most of the time, better results than using only one feature. This results is partially confirmed on testset.