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3. '''Fred and Jain''': They proposed to use a single linkage algorithm to combine multiple runs of the ''k''-means algorithm{{citation needed}}.
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{{citation needed}}.
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}}.
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