BordaConsensus: A new consensus function for soft cluster ensembles

Xavier Sevillano*, Francesc Alías, Joan Claudi Socoró

*Autor correspondiente de este trabajo

Producción científica: Capítulo del libroContribución a congreso/conferenciarevisión exhaustiva

12 Citas (Scopus)

Resumen

Consensus clustering is the task of deriving a single labeling by applying a consensus function on a cluster ensemble. This work introduces BordaConsensus, a new consensus function for soft cluster ensembles based on the Borda voting scheme. In contrast to classic, hard consensus functions that operate on labelings, our proposal considers cluster membership information, thus being able to tackle multiclass clustering problems. Initial small scale experiments reveal that, compared to state-of-the-art consensus functions, BordaConsensus constitutes a good performance vs. complexity trade-off.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
Páginas743-744
Número de páginas2
DOI
EstadoPublicada - 2007
Evento30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 - Amsterdam, Países Bajos
Duración: 23 jul 200727 jul 2007

Serie de la publicación

NombreProceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07

Conferencia

Conferencia30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
País/TerritorioPaíses Bajos
CiudadAmsterdam
Período23/07/0727/07/07

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