CCE: A coupled framework of clustering ensembles

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Conference Proceeding
Proceedings of the National Conference on Artificial Intelligence, 2012, 3 pp. 2455 - 2456
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Clustering ensemble mainly relies on the pairwise similarity to capture the consensus function. However, it usually considers each base clustering independently, and treats the similarity measure roughly with either 0 or 1. To address these two issues, we propose a coupled framework of clustering ensembles CCE, and exemplify it with the coupled version CCSPA for CSPA. Experiments demonstrate the superiority of CCS/34 over baseline approaches in terms of the clustering accuracy. Copyright © 2012, Association for the Advancement of Artificial Intelligence. All rights reserved.
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