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  • Search: subject:"Spectral clustering"
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Year of publication
Subject
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Cluster analysis 2 Clusteranalyse 2 Regional cluster 2 Regionales Cluster 2 Spectral clustering 2 Behavioural intention 1 Community Detection 1 Consumer attitudes 1 Consumer behaviour 1 Dynamic Stochastic Blockmodel 1 Empirical data 1 Holiday behaviour 1 Innovation adoption 1 Innovationsakzeptanz 1 Institutional care 1 Insurance 1 K-means 1 Konsumentenverhalten 1 Long-term care 1 Multinomial logistic regression 1 Node Covariate 1 Portfolio Management 1 Return Predictability 1 Spectral Clustering 1 Technology acceptance model 1 Theorie 1 Theory 1 Urlaubsverhalten 1 Verbrauchereinstellung 1 Versicherung 1 Virtual reality 1 Virtuelle Realität 1 clustering analysis 1 spectral clustering 1 unsupervised learning 1
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Online availability
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Free 4 CC license 2
Type of publication
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Article 3 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 Working Paper 1
Language
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English 4
Author
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Attasit Wiangkham 1 Guo, Li 1 Hainaut, Donatien 1 Hames, Thomas 1 Härdle, Wolfgang Karl 1 Jamotten, Charlotte 1 Komsit Kieanwatana 1 Rattawut Vongvit 1 Shemendyuk, Aleksandr 1 Tao, Yubo 1 Wagner, Joël 1
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Published in...
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IRTG 1792 Discussion Paper 1 Insurance : mathematics and economics 1 Journal of open innovation : technology, market, and complexity 1 Risks : open access journal 1
Source
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ECONIS (ZBW) 3 EconStor 1
Showing 1 - 4 of 4
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Journey into virtual reality : Identifying behavioral intentions to use virtual reality in tourism through spectral clustering
Attasit Wiangkham; Komsit Kieanwatana; Rattawut Vongvit - In: Journal of open innovation : technology, market, and … 11 (2025) 1, pp. 1-13
-enabled attractions may hinder widespread adoption. This study, through the application of Exploratory Factor Analysis and spectral … clustering of empirical survey data, aims to identify clusters of behavioral intentions for using VR in tourism based on an …
Persistent link: https://www.econbiz.de/10015358516
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Insurance analytics with clustering techniques
Jamotten, Charlotte; Hainaut, Donatien; Hames, Thomas - In: Risks : open access journal 12 (2024) 9, pp. 1-28
heterogeneous insurance data. Additionally, we adapt spectral clustering, a technique based on graph theory that accommodates non …-convex cluster shapes. To mitigate the computational complexity associated with spectral clustering's O(n 3 ) runtime, we introduce a …
Persistent link: https://www.econbiz.de/10015066334
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On the factors determining the health profiles and care needs of institutionalized elders
Shemendyuk, Aleksandr; Wagner, Joël - In: Insurance : mathematics and economics 114 (2024), pp. 223-241
Persistent link: https://www.econbiz.de/10015049394
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Dynamic Network Perspective of Cryptocurrencies
Guo, Li; Tao, Yubo; Härdle, Wolfgang Karl - 2019
dynamic covariate-assisted spectral clustering method to uniformly estimate the latent group membership of cryptocurrencies …
Persistent link: https://www.econbiz.de/10012433223
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