Consensus matrix is calculated using the Cluster-based Similarity
Partitioning Algorithm (CSPA). For each clustering result a binary
similarity matrix is constructed from the corresponding cell labels:
if two cells belong to the same cluster, their similarity is 1, otherwise
the similarity is 0. A consensus matrix is calculated by averaging all
similarity matrices.