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Mixed integer linear programming and heuristic methods for feature selection in clustering

Benati, Stefano; García, Sergio; Puerto, Justo - In: Journal of the Operational Research Society 69 (2018) 9, pp. 1379-1395

Persistent link: https://www.econbiz.de/10012227276

A hybrid algorithm for task sequencing problems with iteration in product development

Ebufegha, Akposeiyifa J.; Li, Simon - In: Journal of the Operational Research Society 73 (2022) 7, pp. 1549-1561

Persistent link: https://www.econbiz.de/10013373035

Network intrusion detection method based on improved ant colony algorithm combined with cluster analysis in cloud computing environment

Wang, Xifeng; Zhang, Xiaoluan - In: International journal of information technology and … 21 (2022) 4, pp. 345-358

Persistent link: https://www.econbiz.de/10014319206

Capacitated hierarchical clustering heuristic for multi depot location-routing problems

Lam, Marco; Mittenthal, John - In: International journal of logistics : research and … 16 (2013) 5, pp. 433-444

Persistent link: https://www.econbiz.de/10010198091

Combined neighborhood tabu search for community detection in complex networks

Gach, Olivier; Hao, Jin-Kao - In: RAIRO 50 (2016) 2, pp. 269-283

Persistent link: https://www.econbiz.de/10011672818

Clusteranalyse mit genetischen Algorithmen

Hansohm, Jürgen - In: Mathematische Methoden der Wirtschaftswissenschaften : …, (pp. 57-66). 1999

Persistent link: https://www.econbiz.de/10001423401

Evolutionäre Algorithmen zur Clusteranalyse

Hauke, W.; Paul, H. - In: Mathematische Methoden der Wirtschaftswissenschaften : …, (pp. 67-75). 1999

Persistent link: https://www.econbiz.de/10001423406

Evolutionäre Entwicklung künstlicher neuronaler Netze zur Lösung betriebswirtschaftlicher Klassifikationsprobleme

Stahlbock, Robert - 2002

Persistent link: https://www.econbiz.de/10001729463

Application of a genetic algorithm to variable selection in fuzzy clustering

Röver, Christian (contributor); Szepannek, Gero (contributor) - 2004

In order to group the observations of a data set into a given number of clusters, an ‘optimal’ subset out of a greater number of explanatory variables is to be selected. The problem is approached by maximizing a quality measure under certain restrictions that are supposed to keep the subset...

Persistent link: https://www.econbiz.de/10002570068

Improved heuristics for solving large-scale Scanning Transmission Electron Microscopy image segmentation using the ordered median problem

Muñoz-Ocaña, Juan M.; Puerto, Justo; Rodríguez … - In: Computers & operations research : an international journal 163 (2024), pp. 1-17

Persistent link: https://www.econbiz.de/10014562868