On Seeking Consensus Between Document Similarity Measures
  This paper investigates the application of consensus clustering and
meta-clustering to the set of all possible partitions of a data set. We show
that when using a "complement" of Rand Index as a measure of cluster
similarity, the total-separation partition, putting each element in a separate
set, is chosen.
