Encyclopedia of Machine Learning

2010 Edition
| Editors: Claude Sammut, Geoffrey I. Webb

Consensus Clustering

Reference work entry
DOI: https://doi.org/10.1007/978-0-387-30164-8_162



In Consensus Clustering we are given a set of n objects V , and a set of m clusterings { C 1, C 2, , C m} of the objects in V . The aim is to find a single clustering C that disagrees least with the input clusterings, that is, C minimizes
$$D(C) = \sum \limits_{{C}_{i}}d(C,{C}_{i}),$$
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© Springer Science+Business Media, LLC 2011