A real data-driven clustering approach for countries based on happiness score
Year of publication: |
2021
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Authors: | Chakraborty, Aditya ; Tsokos, Chris P. |
Published in: |
Amfiteatru economic : an economic and business research periodical. - Bucharest : Editura ASE, ISSN 2247-9104, ZDB-ID 2565624-7. - Vol. 23.2021, 15, Special issue, p. 1031-1045
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Subject: | Clustering Algorithms | Subjective Well Being (SWB) | Stability Measures | Machine Learning Classification Algorithms | Economic Indicators | Algorithmus | Algorithm | Clusteranalyse | Cluster analysis | Künstliche Intelligenz | Artificial intelligence | Zufriedenheit | Satisfaction | Regionales Cluster | Regional cluster | Klassifikation | Classification | Lebensqualität | Quality of life | Wirtschaftsindikator | Economic indicator |
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.24818/EA/2021/S15/1031 [DOI] hdl:10419/281616 [Handle] |
Classification: | C00 - Mathematical and Quantitative Methods. General ; C02 - Mathematical Methods ; C19 - Econometric and Statistical Methods: General. Other ; C40 - Econometric and Statistical Methods: Special Topics. General ; C49 - Econometric and Statistical Methods: Special Topics. Other ; C65 - Miscellaneous Mathematical Tools ; y91 ; Y10 - Data: Tables and Charts |
Source: | ECONIS - Online Catalogue of the ZBW |
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