Consensus functions enable a variety of new approaches to several problems. After introducing the data-sets used and the evaluation methodology, in subsection 5.4.3 we illustrate how robustness of clustering can be increased through combining a set of clusterings. In subsection 5.4.4, we discuss how distributed clustering can be performed when each entity only has access to a very limited subset of features. Finally, subsection 5.4.5 shows how one can operate on several very limited subset of objects and combine them afterwards thereby enabling distributed clustering.