Weighted Consensus Clustering and its Application to Big Data

•The paper proposes a purity-based weighted consensus clustering.•The proposed approach demonstrates the efficient integration of clustering methods.•The best result shows the proposed approach with the squared Euclidean metric.•The proposed approach compensates for the shortcomings of each considered method.•Weighted consensus will allow experts to use it when making group decisions.