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Journal Articles International Journal of Approximate Reasoning Year : 2011

Ensemble clustering in the belief functions framework


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.
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hal-00651375 , version 1 (13-12-2011)


  • HAL Id : hal-00651375 , version 1


Marie-Hélène Masson, Thierry Denoeux. Ensemble clustering in the belief functions framework. International Journal of Approximate Reasoning, 2011, 52 (1), pp.92-109. ⟨hal-00651375⟩
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