Titlebook: Correlation Clustering; Francesco Bonchi,David García-Soriano,Francesco Gu Book 2022 Springer Nature Switzerland AG 2022

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Zeitlichkeit und FleischlichkeitThis chapter deals with . formulations of correlation clustering, i.e., formulations where some constraints of the basic formulation are discarded or required in a less restrictive form. This results in optimization problems whose feasible region is a superset of one of the basic correlation-clustering formulations.

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費(fèi)解

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Relaxed Formulations,This chapter deals with . formulations of correlation clustering, i.e., formulations where some constraints of the basic formulation are discarded or required in a less restrictive form. This results in optimization problems whose feasible region is a superset of one of the basic correlation-clustering formulations.

秘密會(huì)議

Other Types of Graphs,This chapter describes variants of correlation clustering that have a special type of input, e.g., simple graphs with a specific structure, information-richer graphs, or graphs with noisy or uncertain information.

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bypass

Conclusions and Open Problems,orithms, problem variants (constrained formulations, relaxed formulations, formulations handling graphs other than simple ones), advanced computational settings (large-scale, parallel, streaming, online), related problems, and applications.

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Book 2022ters to maximize the similarity of the objects within the same cluster and minimize the similarity of the objects in different clusters. In most of the variants of correlation clustering, the number of clusters is not a given parameter; instead, the optimal number of clusters is automatically determ