Comparing Local Search Initialization for K-Means and K-Medoids Clustering in a Planar Pareto Front, a Computational Study

Jiangnan Huang; Zixi Chen; Nicolas Dupin

doi:10.1007/978-3-030-85672-4_2

Book Sections Year : 2021

Comparing Local Search Initialization for K-Means and K-Medoids Clustering in a Planar Pareto Front, a Computational Study

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Jiangnan Huang

Function : Author

Université Paris-Saclay

Zixi Chen

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Université Paris-Saclay

Nicolas Dupin

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PersonId : 10457
IdHAL : nicolas-dupin
ORCID : 0000-0003-3775-5629
IdRef : 190852666

Laboratoire Interdisciplinaire des Sciences du Numérique

Université Paris-Saclay

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Computer Science [cs] Operations Research [cs.RO] Computer Science [cs] Computer Science [cs] Artificial Intelligence [cs.AI]

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Submitted on : Thursday, August 19, 2021-3:29:38 PM

Last modification on : Friday, March 24, 2023-2:53:22 PM

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hal-03322674 , version 1 (19-08-2021)

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HAL Id : hal-03322674 , version 1
DOI : 10.1007/978-3-030-85672-4_2

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Jiangnan Huang, Zixi Chen, Nicolas Dupin. Comparing Local Search Initialization for K-Means and K-Medoids Clustering in a Planar Pareto Front, a Computational Study. Optimization and Learning, pp.14-28, 2021, ⟨10.1007/978-3-030-85672-4_2⟩. ⟨hal-03322674⟩

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Comparing Local Search Initialization for K-Means and K-Medoids Clustering in a Planar Pareto Front, a Computational Study

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