Abstract
This chapter deals with relaxed 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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Bonchi, F., García-Soriano, D., Gullo, F. (2022). Relaxed Formulations. In: Correlation Clustering. Synthesis Lectures on Data Mining and Knowledge Discovery. Springer, Cham. https://doi.org/10.1007/978-3-031-79210-6_3
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DOI: https://doi.org/10.1007/978-3-031-79210-6_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-79198-7
Online ISBN: 978-3-031-79210-6
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