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11

ECSQARU
2009
Springer

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Belief Functions and Cluster Ensembles

13 years 11 months ago

Belief Functions and Cluster Ensembles

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Abstract. In this paper, belief functions, deﬁned on the lattice of 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 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 two data sets.

Marie-Hélène Masson, Thierry Denoeux

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Added	26 May 2010
Updated	26 May 2010
Type	Conference
Year	2009
Where	ECSQARU
Authors	Marie-Hélène Masson, Thierry Denoeux

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