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Parameterized Approximation Schemes for Clustering with General Norm Objectives

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Year: 2023
Type: conference-paper
Source: Annual Symposium on Foundations of Computer Science
DOI: 10.1109/focs57990.2023.00085
Authors: Fateme Abbasi, Sandip Banerjee, Jarosław Byrka, Parinya Chalermsook, Ameet Gadekar, Kamyar Khodamoradi, Dániel Marx, Roohani Sharma, Joachim Spoerhase
Institutions: University of Wrocław, University of Regina, Aalto University, Helmholtz Center for Information Security, Max Planck Society, Max Planck Institute for Informatics, University of Sheffield
Language: English

Topic: Complexity and Algorithms in Graphs
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences

Open Access status: closed

Funders: Academy of Finland, European Research Council
OpenAlex ID: W4390100604
FWCI: 3.298
Cites: 60
Cited by: 8
Related to: 10
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