Mainly in the context of gene clustering, the binarization of consensus partition matrices (Bi-CoPaM) was proposed by Abu-Jamous et al. as a method for consensus clustering. In contrast to other conventional clustering and ensemble clustering methods, Bi-CoPaM has the ability to combine the results of clustering the same set of genes from various microarray datasets and by using many clustering methods to produce one consensus result. Moreover, Bi-CoPaM relaxes conventional clustering constraints by allowing each gene to have any of the three possible eventualities – to be exclusively assigned to one and only one cluster (as any conventional clustering method does), to be simultaneously assigned to multiple clusters, or to be unassigned from all of the clusters. At the clusters level, clus