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  • Search: subject:"Support vector clustering"
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Year of publication
Subject
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Support vector clustering 3 China 1 Clustering 1 Data-driven robust optimization 1 Decision under uncertainty 1 Demand 1 Demand uncertainty 1 Entscheidung unter Unsicherheit 1 Europe 1 Hilbert space 1 Inventory model 1 Inventory policy 1 Kernel methods 1 K‐medoids clustering 1 Lagerhaltungsmodell 1 Lagermanagement 1 Matrix map 1 Multichannel strategy 1 Multikanalvertrieb 1 Nachfrage 1 Omnichannel strategies 1 Patent clustering 1 Research and development 1 Robust statistics 1 Robustes Verfahren 1 Scale-space clustering 1 Schrödinger equation 1 Statistical forecasting 1 Theorie 1 Theory 1 United States of America 1 Vacant technology forecasting 1 Warehouse management 1
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Undetermined 3
Type of publication
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Article 3
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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English 2 Undetermined 1
Author
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Fan, Zhi-Ping 1 Horn, David 1 Jun, Sunghae 1 Qiu, Ruozhen 1 Shao, Songshi 1 Sik Jang, Dong 1 Sun, Minghe 1 Sun, Yue 1 Sung Park, Sang 1
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Published in...
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Computers & operations research : an international journal 1 Industrial Management & Data Systems 1 Physica A: Statistical Mechanics and its Applications 1
Source
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ECONIS (ZBW) 1 RePEc 1 Other ZBW resources 1
Showing 1 - 3 of 3
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Omnichannel strategies and data-driven robust inventory policies with demand uncertainties
Sun, Yue; Qiu, Ruozhen; Shao, Songshi; Sun, Minghe; … - In: Computers & operations research : an international journal 173 (2025), pp. 1-28
Persistent link: https://www.econbiz.de/10015101613
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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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Clustering via Hilbert space
Horn, David - In: Physica A: Statistical Mechanics and its Applications 302 (2001) 1, pp. 70-79
kernel. The first method, support vector clustering (SVC), searches for the smallest sphere enclosing data images in Hilbert …
Persistent link: https://www.econbiz.de/10011064367
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