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  • Search: subject:"k-means problem"
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Subject
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Algorithm 1 Algorithmus 1 Bisection method 1 Clustering problem 1 Global optimization 1 Mathematical programming 1 Mathematische Optimierung 1 Maximal clique 1 Theorie 1 Theory 1 approximation algorithm 1 k-means 1 k-means problem 1 k-means problem with penalties 1 parallel seeding algorithm 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 2
Type of publication (narrower categories)
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2
Author
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Bajbar, Tomáš 1 Kirst, Peter 1 Li, Min 1 Merkel, Mario 1 Xu, Dachuan 1 Zhang, Dongmei 1 Zhou, Huiling 1
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International transactions in operational research : a journal of the International Federation of Operational Research Societies 1 TOP 1
Source
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
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A bisection method for solving distance-based clustering problems globally
Kirst, Peter; Bajbar, Tomáš; Merkel, Mario - In: TOP 33 (2024) 3, pp. 437-469
In this article, we consider distance-based clustering problems. In contrast to many approaches, we use the maximum norm instead of the more commonly used Euclidean norm to measure distances. This problem is nonsmooth and non-convex and, thus, difficult to solve to global optimality using...
Persistent link: https://www.econbiz.de/10015484550
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The provably good parallel seeding algorithms for the k-means problem with penalties
Li, Min; Xu, Dachuan; Zhang, Dongmei; Zhou, Huiling - In: International transactions in operational research : a … 29 (2022) 1, pp. 158-171
Persistent link: https://www.econbiz.de/10012630735
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