Breaking the Two Approximation Barrier for Various Consensus Clustering Problems

Consensus clustering is a method used to combine the results of multiple clustering algorithms applied to the same dataset. The goal is to find a single clustering solution that represents the common structure present in the various input clusterings, thereby improving the overall quality and robustness of the clustering outcome.