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Ensemble clustering aims to fuse several diverse basic partitions into a consensus one, which has been widely recognized as a promising tool to discover novel clusters and deliver robust partitions, while representation learning with deep structure shows appealing performance in unsupervised feature pre-treatment. In the literature, it has been empirically found that with the increasing number of...
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