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Motivated by modern applications in which one constructs graphical models based on a very large number of features, this paper introduces a new class of cluster-based graphical models. Unlike standard graphical models, variable clustering is applied …

We consider SDP relaxation methods for data and variable clustering problems, which have been shown in the literature to have good statistical properties in a variety of settings, but remain intractable to solve in practice. In particular, we propose …