A Novel Mixed Integer Linear Programming Model for Clustering Relational Networks

Integer programming models for clustering have applications in diverse fields addressing many problems such as market segmentation and location of facilities. Integer programming models are flexible in expressing objectives subject to some special constraints of the clustering problem. They are also...

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Veröffentlicht in:	Journal of optimization theory and applications Jg. 176; H. 2; S. 492 - 508
Hauptverfasser:	Pirim, Harun, Eksioglu, Burak, Glover, Fred W.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.02.2018 Springer Nature B.V
Schlagworte:	Applications of Mathematics Bioinformatics Calculus of Variations and Optimal Control; Optimization Clustering Engineering Integer programming Linear programming Mathematical programming Mathematics Mathematics and Statistics Mixed integer Operations Research/Decision Theory Optimization Production scheduling Theory of Computation 05C12 90C35 68R05 90C11 Mixed integer programming Social networks 90C90 90C05 90C27 Clustering 68R10
ISSN:	0022-3239, 1573-2878
Online-Zugang:	Volltext
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