Renyi divergence minimization based co-regularized multiview clustering
Multiview clustering is a framework for grouping objects given multiple views, e.g. text and image views describing the same set of entities. This paper introduces coregularization techniques for multiview clustering that explicitly minimize a weighted sum of divergences to impose coherence between per-view learned models. Specifically, we iteratively minimize aweighted sum of divergences between posterior memberships of clusterings, thus learning view-specific parameters that produce similar...[Show more]
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