CCE: A Coupled Framework of Clustering Ensembles

Publisher:
AAAI Press
Publication Type:
Conference Proceeding
Citation:
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012, pp. 2455 - 2456
Issue Date:
2012-01
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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 CCSPA over baseline approaches in terms of the clustering accuracy.
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