Consensus clustering can be a powerful tool for identifying clusters, but it needs to be applied with caution.
In simulated datasets with known number of clusters, consensus clustering+PAC has been shown to perform better than several other commonly used methods such as consensus clustering+Δ(K), CLEST, GAP, and silhouette width [REF].