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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
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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