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  • Search: subject:"K‐medoids clustering"
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Year of publication
Subject
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Theorie 2 Theory 2 data envelopment analysis 2 decision making unit 2 financial performance 2 input efficiency 2 k-medoids clustering 2 variable return to scale 2 Algorithm 1 Algorithmus 1 Branch and Bound 1 Branch-and-Bound 1 CVRP 1 China 1 Cluster analysis 1 Clusteranalyse 1 Data envelopment analysis 1 Data-Envelopment-Analyse 1 Efficiency 1 Effizienz 1 Europe 1 Firm performance 1 Heuristics 1 Heuristik 1 K-medoids clustering algorithm 1 K‐medoids clustering 1 Matrix map 1 Patent clustering 1 Performance measurement 1 Performance-Messung 1 Regional cluster 1 Regionales Cluster 1 Research and development 1 Returns to scale 1 Skalenertrag 1 Statistical forecasting 1 Support vector clustering 1 Technical efficiency 1 Technische Effizienz 1 Tourenplanung 1
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Online availability
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Free 2 CC license 1 Undetermined 1
Type of publication
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Article 4
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Article 1 research-article 1
Language
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English 4
Author
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Bayaraa, Batchimeg 2 Fenyves, Veronika 2 Tarnoczi, Tibor 2 Comert, Serap Ercan 1 Jun, Sunghae 1 Kır, Sena 1 Sik Jang, Dong 1 Sung Park, Sang 1 Yazgan, Harun Resit 1 Yener, Furkan 1
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Published in...
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Industrial Management & Data Systems 1 International journal of procurement management 1 Journal of Business Economics and Management (JBEM) 1 Journal of business economics and management 1
Source
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ECONIS (ZBW) 2 EconStor 1 Other ZBW resources 1
Showing 1 - 4 of 4
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Measuring performance by integrating k-medoids with DEA: Mongolian case
Bayaraa, Batchimeg; Tarnoczi, Tibor; Fenyves, Veronika - In: Journal of business economics and management 20 (2019) 6, pp. 1238-1257
from the Mongolian Stock Exchange website. The companies are grouped by k-medoids clustering, and efficiency of each …
Persistent link: https://www.econbiz.de/10012176120
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Cover Image
Measuring performance by integrating k-medoids with DEA: Mongolian case
Bayaraa, Batchimeg; Tarnoczi, Tibor; Fenyves, Veronika - In: Journal of Business Economics and Management (JBEM) 20 (2019) 6, pp. 1238-1257
from the Mongolian Stock Exchange website. The companies are grouped by k-medoids clustering, and efficiency of each …
Persistent link: https://www.econbiz.de/10015401408
Saved in:
Cover Image
A cluster first-route second approach for a capacitated vehicle routing problem : a case study
Comert, Serap Ercan; Yazgan, Harun Resit; Kır, Sena; … - In: International journal of procurement management 11 (2018) 4, pp. 399-419
Persistent link: https://www.econbiz.de/10011966109
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Cover Image
Technology forecasting using matrix map and patent clustering
Jun, Sunghae; Sung Park, Sang; Sik Jang, Dong - In: Industrial Management & Data Systems 112 (2012) 5, pp. 786-807
paper aims to introduce a matrix map and K‐medoids clustering based on support vector clustering (KM‐SVC) for vacant TF …
Persistent link: https://www.econbiz.de/10014824398
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