Weighted association based methods for the combination of heterogeneous partitions

► We show how the use of the original objects could improve the consensus results. ► Weighted association matrix extracts more information from clustering ensembles. ► Data representations and similarity measures can be summarized into a unified matrix. ► The two clustering ensemble algorithms have good performance on several datasets. ► These algorithms are able to work with numerical, categorical and mixed data.