A sampling-based exact algorithm for the solution of the minimax diameter clustering problem.

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Title: A sampling-based exact algorithm for the solution of the minimax diameter clustering problem.
Authors: Aloise, Daniel1, daniel.aloise@polymtl.ca, Contardo, Claudio2, claudio.contardo@gerad.ca
Source: Journal of Global Optimization; Jul2018, Vol. 71 Issue 3, p613-630, 18p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 130276689
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  Data: A sampling-based exact algorithm for the solution of the minimax diameter clustering problem.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Global+Optimization%22">Journal of Global Optimization</searchLink>; Jul2018, Vol. 71 Issue 3, p613-630, 18p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=130276689
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      – Type: doi
        Value: 10.1007/s10898-018-0634-1
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 613
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      – TitleFull: A sampling-based exact algorithm for the solution of the minimax diameter clustering problem.
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            NameFull: Aloise, Daniel
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              Text: Jul2018
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              Y: 2018
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