Abstract
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.
| Original language | English |
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| Title of host publication | Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 |
| Pages | 743-744 |
| Number of pages | 2 |
| DOIs | |
| Publication status | Published - 2007 |
| Event | 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 - Amsterdam, Netherlands Duration: 23 Jul 2007 → 27 Jul 2007 |
Publication series
| Name | Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 |
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Conference
| Conference | 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 |
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| Country/Territory | Netherlands |
| City | Amsterdam |
| Period | 23/07/07 → 27/07/07 |
Keywords
- Borda voting
- Document clustering
- Soft cluster ensembles