Journal
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
Volume 52, Issue 1, Pages 92-109Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ijar.2010.04.007
Keywords
Clustering; Ensemble clustering; Belief functions; Lattice of partitions; Intervals of partitions
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In this paper, belief functions, defined on the lattice of intervals partitions of a set of objects, are investigated as a suitable framework for combining multiple clusterings. We first show how to represent clustering results as masses of evidence allocated to sets of partitions. Then a consensus belief function is obtained using a suitable combination rule. Tools for synthesizing the results are also proposed. The approach is illustrated using synthetic and real data sets. (C) 2010 Elsevier Inc. All rights reserved.
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