April 26, 2024, 4:42 a.m. | Atsushi Miyauchi, Florian Adriaens, Francesco Bonchi, Nikolaj Tatti

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.16676v1 Announce Type: cross
Abstract: In this paper, we establish Multilayer Correlation Clustering, a novel generalization of Correlation Clustering (Bansal et al., FOCS '02) to the multilayer setting. In this model, we are given a series of inputs of Correlation Clustering (called layers) over the common set $V$. The goal is then to find a clustering of $V$ that minimizes the $\ell_p$-norm ($p\geq 1$) of the disagreements vector, which is defined as the vector (with dimension equal to the number …

abstract arxiv bansal clustering correlation cs.ds cs.lg inputs novel paper series set type

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