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~person:"Currim, Imran S."
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Search: subject_exact:"Clustering approach"
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Cluster analysis
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Currim, Imran S.
MacKinnon, James G.
36
Webb, Matthew
29
Nielsen, Morten Ørregaard
19
Peneder, Michael
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Porter, Michael E.
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Cameron, Adrian Colin
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Gelbach, Jonah B.
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Miller, Douglas Lee
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Zhang, Xiaobo
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DeSarbo, Wayne
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Hildebrandt, Lutz
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Lazzeretti, Luciana
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Artis, Michael J.
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Graf, Holger
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Jajuga, Krzysztof
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Sondhi, Neena
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Tkaczynski, Aaron
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Belussi, Fiorenza
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Brenner, Thomas
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Brida, Juan Gabriel
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Cantner, Uwe
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Capone, Francesco
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Cooke, Philip
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Dai, Ruochen
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DeSarbo, Wayne S.
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Gómez-Loscos, Ana
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Hollenstein, Heinz
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Mookherjee, Dilip
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Nijkamp, Peter
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Quan, Yingyue
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Stern, Scott
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Weihs, Claus
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Zopounidis, Constantin
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Dolnicar, Sara
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European journal of operational research : EJOR
1
Review of marketing science
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ECONIS (ZBW)
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An empirical comparison of methods for clustering problems : are there benefits from having a statistical model?
Andrews, Rick L.
;
Brusco, Michael J.
;
Currim, Imran S.
; …
- In:
Review of marketing science
8
(
2010
)
3
,
pp. 1-32
Persistent link: https://www.econbiz.de/10003995971
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2
Amalgamation of partitions from multiple segmentation bases : a comparison of non-model-based and model-based methods
Andrews, Rick L.
;
Brusco, Michael J.
;
Currim, Imran S.
- In:
European journal of operational research : EJOR
201
(
2010
)
2
,
pp. 608-618
Persistent link: https://www.econbiz.de/10003924842
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