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ECSQARU
2009
Springer

Belief Functions and Cluster Ensembles

10 years 2 months ago
Belief Functions and Cluster Ensembles
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
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where ECSQARU
Authors Marie-Hélène Masson, Thierry Denoeux
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