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4. '''Dana Cristofor and Dan Simovici''': They observed the connection between clustering aggregation and clustering of categorical data. They proposed information theoretic distance measures, and they propose [[genetic algorithm]]s for finding the best aggregation solution.
5. '''Topchy et al.''': They defined clustering aggregation as a maximum likelihood estimation problem, and they proposed an EM algorithm for finding the consensus clustering[[citation needed]].
== Hard ensemble clustering ==
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