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  • Search: subject:"variable weighting"
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Year of publication
Subject
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Variable weighting 4 Airport benchmarking 2 Cluster analysis 2 Hierarchical clustering 2 Airport 1 Benchmarking 1 Chi-square distance 1 Clusteranalyse 1 Clustering 1 Data envelopment analysis 1 Data-Envelopment-Analyse 1 Discriminant analysis 1 Feature selection 1 Flughafen 1 Information theory 1 K-means clustering 1 Pattern recognition 1 Regional cluster 1 Regionales Cluster 1 Theorie 1 Theory 1 Variable importance 1 Variable selection 1 penalty constant 1 variable weighting 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 1 Aufsatz in Zeitschrift 1 research-article 1
Language
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Undetermined 3 English 2
Author
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Rodríguez-Déniz, Héctor 2 Voltes-Dorta, Augusto 2 Gnanadesikan, R. 1 Huh, Myung-Hoe 1 Kettenring, J. 1 Lim, Yong 1 Morlini, Isabella 1 Tsao, S. 1 Zani, Sergio 1
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Published in...
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Journal of Classification 2 Benchmarking : an international journal ; BIJ 1 Benchmarking: An International Journal 1 Journal of Applied Statistics 1
Source
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RePEc 3 ECONIS (ZBW) 1 Other ZBW resources 1
Showing 1 - 5 of 5
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A frontier-based hierarchical clustering for airport efficiency benchmarking
Rodríguez-Déniz, Héctor; Voltes-Dorta, Augusto - In: Benchmarking: An International Journal 21 (2014) 4, pp. 486-508
discussion and application of optimal variable weighting. In regard to efficiency benchmarking, the paper aims to overcome the …
Persistent link: https://www.econbiz.de/10014684566
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A frontier-based hierarchical clustering for airport efficiency benchmarking
Rodríguez-Déniz, Héctor; Voltes-Dorta, Augusto - In: Benchmarking : an international journal ; BIJ 21 (2014) 4, pp. 486-508
Persistent link: https://www.econbiz.de/10010385867
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A New Class of Weighted Similarity Indices Using Polytomous Variables
Morlini, Isabella; Zani, Sergio - In: Journal of Classification 29 (2012) 2, pp. 199-226
Persistent link: https://www.econbiz.de/10010558352
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Weighting variables in K-means clustering
Huh, Myung-Hoe; Lim, Yong - In: Journal of Applied Statistics 36 (2009) 1, pp. 67-78
The aim of this study is to assign weights w1, …, wm to m clustering variables Z1, …, Zm, so that k groups were uncovered to reveal more meaningful within-group coherence. We propose a new criterion to be minimized, which is the sum of the weighted within-cluster sums of squares and the...
Persistent link: https://www.econbiz.de/10005458238
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Weighting and selection of variables for cluster analysis
Gnanadesikan, R.; Kettenring, J.; Tsao, S. - In: Journal of Classification 12 (1995) 1, pp. 113-136
Persistent link: https://www.econbiz.de/10005602903
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