Clustering countries according to the world happiness report 2019
Since the first initiative in 2012, the World Happiness Report (WHR) has drawn international attention as it can help the policymakers to evaluate their policy options. In the 2019 edition, the WHR introduced six factors to describe the variation of happiness across the countries. Finland is declare...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Khon Kaen University
2021-03-01
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| Series: | Engineering and Applied Science Research |
| Subjects: | |
| Online Access: | https://ph01.tci-thaijo.org/index.php/easr/article/view/240569/165979 |
| _version_ | 1823928735219318784 |
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| author | M. Mujiya Ulkhaq Arga Adyatama |
| author_facet | M. Mujiya Ulkhaq Arga Adyatama |
| author_sort | M. Mujiya Ulkhaq |
| collection | DOAJ |
| description | Since the first initiative in 2012, the World Happiness Report (WHR) has drawn international attention as it can help the policymakers to evaluate their policy options. In the 2019 edition, the WHR introduced six factors to describe the variation of happiness across the countries. Finland is declared as the happiest country just like what they did in the previous year. This study tried to cluster the countries according to the WHR 2019. Nine clustering algorithms were presented, and three internal validation indices were utilized to compare the algorithms. k-medoids algorithm was selected to illustrate how three distinguished clusters generated from the algorithm are different from each other. This study is expected to give an insight into how to implement clustering algorithms into the real-world data set and how to interpret the results. |
| first_indexed | 2024-12-16T20:58:56Z |
| format | Article |
| id | doaj.art-c2681992e6174155b58b7f3743f684ff |
| institution | Directory Open Access Journal |
| issn | 2539-6161 2539-6218 |
| language | English |
| last_indexed | 2024-12-16T20:58:56Z |
| publishDate | 2021-03-01 |
| publisher | Khon Kaen University |
| record_format | Article |
| series | Engineering and Applied Science Research |
| spelling | doaj.art-c2681992e6174155b58b7f3743f684ff2022-12-21T22:16:33ZengKhon Kaen UniversityEngineering and Applied Science Research2539-61612539-62182021-03-01482137150Clustering countries according to the world happiness report 2019M. Mujiya UlkhaqArga AdyatamaSince the first initiative in 2012, the World Happiness Report (WHR) has drawn international attention as it can help the policymakers to evaluate their policy options. In the 2019 edition, the WHR introduced six factors to describe the variation of happiness across the countries. Finland is declared as the happiest country just like what they did in the previous year. This study tried to cluster the countries according to the WHR 2019. Nine clustering algorithms were presented, and three internal validation indices were utilized to compare the algorithms. k-medoids algorithm was selected to illustrate how three distinguished clusters generated from the algorithm are different from each other. This study is expected to give an insight into how to implement clustering algorithms into the real-world data set and how to interpret the results.https://ph01.tci-thaijo.org/index.php/easr/article/view/240569/165979clusteringclustering algorithmcluster validationthe world happiness report |
| spellingShingle | M. Mujiya Ulkhaq Arga Adyatama Clustering countries according to the world happiness report 2019 Engineering and Applied Science Research clustering clustering algorithm cluster validation the world happiness report |
| title | Clustering countries according to the world happiness report 2019 |
| title_full | Clustering countries according to the world happiness report 2019 |
| title_fullStr | Clustering countries according to the world happiness report 2019 |
| title_full_unstemmed | Clustering countries according to the world happiness report 2019 |
| title_short | Clustering countries according to the world happiness report 2019 |
| title_sort | clustering countries according to the world happiness report 2019 |
| topic | clustering clustering algorithm cluster validation the world happiness report |
| url | https://ph01.tci-thaijo.org/index.php/easr/article/view/240569/165979 |
| work_keys_str_mv | AT mmujiyaulkhaq clusteringcountriesaccordingtotheworldhappinessreport2019 AT argaadyatama clusteringcountriesaccordingtotheworldhappinessreport2019 |