Comparison of Unsupervised Learning Algorithms for Clustering Cuban Citizens using a Lifestyle Questionnaire
This study uses information technologies to analyze the lifestyles of Cubans. Cluster analysis is used to identify similarities in habits and lifestyles. Clustering results are compared using K-Means, DBSCAN, and HDBSCAN algorithms. Principal Component Analysis is applied to visualize the dataset. I...
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| Format: | Article |
| Language: | English |
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Editura Universitatii Transilvania din Brasov
2024-07-01
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| Series: | Bulletin of the Transilvania University of Braşov: Series IX Sciences of Human Kinetics |
| Subjects: | |
| Online Access: | https://webbut.unitbv.ro/index.php/Series_IX/article/view/7643/5989 |
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| _version_ | 1841556217534611456 |
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| author | S. Torres D. Alonso N. Martinez S. Merced |
| author_facet | S. Torres D. Alonso N. Martinez S. Merced |
| author_sort | S. Torres |
| collection | DOAJ |
| description | This study uses information technologies to analyze the lifestyles of Cubans. Cluster analysis is used to identify similarities in habits and lifestyles. Clustering results are compared using K-Means, DBSCAN, and HDBSCAN algorithms. Principal Component Analysis is applied to visualize the dataset. Internal validation metrics are defined to evaluate the performance of the algorithms. The results indicate that K-Means provides better clustering for this dataset. |
| format | Article |
| id | doaj-art-30a248979c0641088f35e92737ee05c5 |
| institution | Kabale University |
| issn | 2344-2026 |
| language | English |
| publishDate | 2024-07-01 |
| publisher | Editura Universitatii Transilvania din Brasov |
| record_format | Article |
| series | Bulletin of the Transilvania University of Braşov: Series IX Sciences of Human Kinetics |
| spelling | doaj-art-30a248979c0641088f35e92737ee05c52025-01-07T12:34:49ZengEditura Universitatii Transilvania din BrasovBulletin of the Transilvania University of Braşov: Series IX Sciences of Human Kinetics2344-20262024-07-0117(66)127728610.31926/but.shk.2024.17.66.1.9Comparison of Unsupervised Learning Algorithms for Clustering Cuban Citizens using a Lifestyle QuestionnaireS. Torres0D. Alonso1N. Martinez2S. Merced3University of Informatics Sciences, CubaUniversity of Informatics Sciences, CubaUniversity of Informatics Sciences, CubaUniversity of the Sciences of the Physical Culture and the Sport "Manuel Fajardo", CubaThis study uses information technologies to analyze the lifestyles of Cubans. Cluster analysis is used to identify similarities in habits and lifestyles. Clustering results are compared using K-Means, DBSCAN, and HDBSCAN algorithms. Principal Component Analysis is applied to visualize the dataset. Internal validation metrics are defined to evaluate the performance of the algorithms. The results indicate that K-Means provides better clustering for this dataset.https://webbut.unitbv.ro/index.php/Series_IX/article/view/7643/5989algorithmsclusteringdensityhabitslife |
| spellingShingle | S. Torres D. Alonso N. Martinez S. Merced Comparison of Unsupervised Learning Algorithms for Clustering Cuban Citizens using a Lifestyle Questionnaire Bulletin of the Transilvania University of Braşov: Series IX Sciences of Human Kinetics algorithms clustering density habits life |
| title | Comparison of Unsupervised Learning Algorithms for Clustering Cuban Citizens using a Lifestyle Questionnaire |
| title_full | Comparison of Unsupervised Learning Algorithms for Clustering Cuban Citizens using a Lifestyle Questionnaire |
| title_fullStr | Comparison of Unsupervised Learning Algorithms for Clustering Cuban Citizens using a Lifestyle Questionnaire |
| title_full_unstemmed | Comparison of Unsupervised Learning Algorithms for Clustering Cuban Citizens using a Lifestyle Questionnaire |
| title_short | Comparison of Unsupervised Learning Algorithms for Clustering Cuban Citizens using a Lifestyle Questionnaire |
| title_sort | comparison of unsupervised learning algorithms for clustering cuban citizens using a lifestyle questionnaire |
| topic | algorithms clustering density habits life |
| url | https://webbut.unitbv.ro/index.php/Series_IX/article/view/7643/5989 |
| work_keys_str_mv | AT storres comparisonofunsupervisedlearningalgorithmsforclusteringcubancitizensusingalifestylequestionnaire AT dalonso comparisonofunsupervisedlearningalgorithmsforclusteringcubancitizensusingalifestylequestionnaire AT nmartinez comparisonofunsupervisedlearningalgorithmsforclusteringcubancitizensusingalifestylequestionnaire AT smerced comparisonofunsupervisedlearningalgorithmsforclusteringcubancitizensusingalifestylequestionnaire |