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  • Search: subject:"Dynamic Fuzzy C–Means"
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Year of publication
Subject
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Algorithm 1 Algorithmus 1 Berlin 1 Beziehungsmarketing 1 Cluster analysis 1 Clusteranalyse 1 DCS 1 DFCM 1 Data Science 1 Data Visualization 1 Dynamic Fuzzy C–Means 1 Fuzzy sets 1 Fuzzy-Set-Theorie 1 Market segmentation 1 Marktsegmentierung 1 RFM analysis 1 Relationship marketing 1 Residential Segregation 1 Target group 1 Zielgruppe 1 clustering error 1 cumulative cost curve 1 dynamic customer segmentation 1 dynamic fuzzy c-means 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 2
Type of publication (narrower categories)
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2
Author
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Crespo R., Fernando A. 1 Laengle, Sigifredo 1 Masías H., Víctor H. 1 Navarro R., Pilar 1 Punniyamoorthy, M. 1 Sivaguru, M. 1 Stier, Julia 1 Valle, Mauricio A. 1 Vargas, Augusto A. 1
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Published in...
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EPJ Data Science 1 International journal of business information systems : IJBIS 1
Source
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
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Evolving demographics: a dynamic clustering approach to analyze residential segregation in Berlin
Masías H., Víctor H.; Stier, Julia; Navarro R., Pilar; … - In: EPJ Data Science 13 (2024) 1, pp. 1-41
This paper examines the phenomenon of residential segregation in Berlin over time using a dynamic clustering analysis approach. Previous research has examined the phenomenon of residential segregation in Berlin at a high spatial and temporal aggregation and statically, i.e. not over time. We...
Persistent link: https://www.econbiz.de/10015326038
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Dynamic fuzzy clustering algorithm using cumulative cost curve with application to dynamic customer segmentation
Sivaguru, M.; Punniyamoorthy, M. - In: International journal of business information systems : … 46 (2024) 1, pp. 73-106
Persistent link: https://www.econbiz.de/10015061825
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