BordaConsensus: A new consensus function for soft cluster ensembles

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11 Cites (Scopus)

Resum

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 originalAnglès
Títol de la publicacióProceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
Pàgines743-744
Nombre de pàgines2
DOIs
Estat de la publicacióPublicada - 2007
Esdeveniment30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 - Amsterdam, Netherlands
Durada: 23 de jul. 200727 de jul. 2007

Sèrie de publicacions

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

Conferència

Conferència30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
País/TerritoriNetherlands
CiutatAmsterdam
Període23/07/0727/07/07

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