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1
Parameterized Approximation Schemes for Clustering with Gen..:
, In:
2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS)
,
Abbasi, Fateme
;
Banerjee, Sandip
;
Byrka, Jaroslaw
... - p. 1377-1399 , 2023
Link:
https://doi.org/10.1109/FOCS57990.2023.00085
RT T1 <cTitle>2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS)</cTitle>: T1 <Title>Parameterized Approximation Schemes for Clustering with General Norm Objectives</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10353074&Exemplar=1&LAN=DE A1 Abbasi, Fateme A1 Banerjee, Sandip A1 Byrka, Jaroslaw A1 Chalermsook, Parinya A1 Gadekar, Ameet A1 Khodamoradi, Kamyar A1 Marx, Daniel A1 Sharma, Roohani A1 Spoerhase, Joachim YR 2023 SN 2575-8454 K1 Measurement K1 Computer science K1 Atmospheric measurements K1 Clustering algorithms K1 Extraterrestrial measurements K1 Approximation algorithms K1 Particle measurements K1 clustering K1 parameterized approximation algorithms K1 scattered dimension K1 norm clustering SP 1377 OP 1399 LK http://dx.doi.org/https://doi.org/10.1109/FOCS57990.2023.00085 DO https://doi.org/10.1109/FOCS57990.2023.00085 SF ELIB - SuUB Bremen
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