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Search: subject:"soft clustering"
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Cluster analysis
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Clusteranalyse
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Regionales Cluster
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Soft clustering
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Algorithm
1
Algorithmus
1
Artificial bee colony
1
Belief functions
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C-means
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Demand
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Estimation theory
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Evidential clustering
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Voting behaviour
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Wahlverhalten
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censored demand
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electoral models
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fuzzy clustering
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hotel industry
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mixture model
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personalized demand
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polynomial-time complexity bounds
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soft clustering
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Cho, Sanghoon
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Ferguson, Mark
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Hao, Yong-sheng
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Nesterov, Jurij Evgenʹevič
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Pekgün, Pelin
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Su, Zhi-gang
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Vakhutinsky, Andrew
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CORE discussion papers : DP
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Fuzzy optimization and decision making : a journal of modeling and computation under uncertainty
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Manufacturing & service operations management : M & SOM
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ECONIS (ZBW)
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Estimating personalized demand with unobserved no-purchases using a mixture model : an application in the hotel industry : finalist : 2021 M&SOM practice-based research competition
Cho, Sanghoon
;
Ferguson, Mark
;
Pekgün, Pelin
; …
- In:
Manufacturing & service operations management : M & SOM
25
(
2023
)
4
,
pp. 1245-1262
Persistent link: https://www.econbiz.de/10014328836
Saved in:
2
Soft
clustering
by convex electoral model
Nesterov, Jurij Evgenʹevič
-
2018
Persistent link: https://www.econbiz.de/10011992350
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3
Evidential evolving c-means clustering method based on artificial bee colony algorithm with variable strings and interactive evaluation mode
Su, Zhi-gang
;
Zhou, Hong-yu
;
Hao, Yong-sheng
- In:
Fuzzy optimization and decision making : a journal of …
20
(
2021
)
3
,
pp. 293-313
Persistent link: https://www.econbiz.de/10012616202
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