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  • Search: subject:"K-Means clustering method"
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Year of publication
Subject
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K-means clustering method 2 Knowledge-based society 2 Particle swarm optimization 2 Research fund 2 Research impact 2 Research performance 2 ARMA 1 Algorithm 1 Algorithmus 1 Artificial intelligence 1 Bi-objective optimization 1 Bibliometrics 1 Bibliometrie 1 Bottleneck 1 Business network 1 Carbon futures price 1 Cluster Analysis 1 Congestion 1 EEMD 1 Engpass 1 Entropie 1 Entropy 1 European Union 1 Extreme learning machine 1 Financial Crisis 1 Forecasting model 1 Forschung 1 Forschungsfinanzierung 1 Fuzzy entropy 1 Fuzzy sets 1 Fuzzy-Set-Theorie 1 Greenhouse gas emissions 1 Heuristics 1 Heuristik 1 Hub-and-Spoke-Netzwerk 1 Hub-and-spoke network 1 Hub-and-spoke network design 1 K -means clustering method 1 K-Means clustering method 1 Künstliche Intelligenz 1
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Undetermined 4
Type of publication
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Article 5
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Aufsatz im Buch 1 Book section 1 research-article 1
Language
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English 4 Undetermined 1
Author
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Lee, Kun Chang 2 Lee, Sangjae 2 Seo, Young Wook 2 Berberoglu, Bahar 1 Chen, Peng 1 Irani, Hassan 1 Karimi-Mamaghan, Amir Mohammad 1 Karimi-Mamaghan, Maryam 1 Mohammadi, Mehrdad 1 Pirayesh, Amir 1 Vivian, Andrew 1 Ye, Cheng 1
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Published in...
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Anadolu University Journal of Social Sciences 1 Financial modeling and risk management of energy and environmental instruments and derivates 1 Management Decision 1 Management decision : MD 1 Transportation research / E : an international journal 1
Source
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ECONIS (ZBW) 3 RePEc 1 Other ZBW resources 1
Showing 1 - 5 of 5
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Forecasting carbon futures price : a hybrid method incorporating fuzzy entropy and extreme learning machine
Chen, Peng; Vivian, Andrew; Ye, Cheng - In: Financial modeling and risk management of energy and …, (pp. 559-601). 2022
Persistent link: https://www.econbiz.de/10013350137
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Hub-and-spoke network design under congestion : a learning based metaheuristic
Karimi-Mamaghan, Maryam; Mohammadi, Mehrdad; Pirayesh, Amir - In: Transportation research / E : an international journal 142 (2020), pp. 1-26
Persistent link: https://www.econbiz.de/10012319616
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Decision quality of the research project evaluation mechanism by using particle swarm optimization
Seo, Young Wook; Lee, Kun Chang; Lee, Sangjae - In: Management decision : MD 55 (2017) 4, pp. 745-765
Persistent link: https://www.econbiz.de/10011704439
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Decision quality of the research project evaluation mechanism by using particle swarm optimization
Seo, Young Wook; Lee, Kun Chang; Lee, Sangjae - In: Management Decision 55 (2017) 4, pp. 745-765
hybrid particle swarm optimization algorithms using the particle swarm optimization (PSO) algorithm and the conventional K-means … clustering method. Design/methodology/approach The clustering analysis experiment for each of the three fields of study – health …
Persistent link: https://www.econbiz.de/10014935287
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ANALYSING THE EFFECTS OF 2008 GLOBAL CRISES ON TURKEY AND EUROPEAN UNION WITH CLUSTER ANALYSIS
Berberoglu, Bahar - In: Anadolu University Journal of Social Sciences 11 (2011) 1, pp. 105-130
In our study we aimed to analyze the effects of 2008 Global Crisis on Turkey and European Union Countries (EU) and determine whether the distance between Turkey and EU is increased or decreased in the crisis period. For this reason, we first, investigated with which stages this crisis emerged,...
Persistent link: https://www.econbiz.de/10008776799
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