A critical approach to clustering precipitation series in the Dobrogea region, Romania
This study provides a detailed framework for applying clustering algorithms to analyze precipitation data from the Dobrogea region in Romania, covering 46 meteorological stations from 1965 to 2005. Three clustering methods—K-means, K-medoids, and DBSCAN—were employed to partition the stations based...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/08/e3sconf_eenviro2024_05027.pdf |
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| author | Saliba Youssef Barbulescu Alina Dumitriu Cristian Ștefan |
| author_facet | Saliba Youssef Barbulescu Alina Dumitriu Cristian Ștefan |
| author_sort | Saliba Youssef |
| collection | DOAJ |
| description | This study provides a detailed framework for applying clustering algorithms to analyze precipitation data from the Dobrogea region in Romania, covering 46 meteorological stations from 1965 to 2005. Three clustering methods—K-means, K-medoids, and DBSCAN—were employed to partition the stations based on their monthly precipitation patterns. The primary goal was to outline the implementation process, highlight the use of specific R packages, and demonstrate parameter tuning to optimize clustering performance. Validation measures, including internal and stability indices, were used to assess the quality of each clustering method. While initial results indicated that K-medoids offer stable clusters and DBSCAN effectively handles noise, further comparative analysis with additional methods is necessary to determine the most suitable clustering technique for precipitation data. This work serves as a practical guide for selecting, implementing, and validating clustering algorithms in environmental data analysis. |
| format | Article |
| id | doaj-art-466b6c03a8634847be8baf961cc397d4 |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-466b6c03a8634847be8baf961cc397d42025-02-05T10:49:34ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016080502710.1051/e3sconf/202560805027e3sconf_eenviro2024_05027A critical approach to clustering precipitation series in the Dobrogea region, RomaniaSaliba Youssef0Barbulescu Alina1Dumitriu Cristian Ștefan2Technical University of Civil Engineering of Bucharest, Doctoral SchoolTransilvania University of Brasov, RomaniaTechnical University of Civil Engineering of Bucharest, Faculty of Mechanical Engineering and Robotics in ConstructionsThis study provides a detailed framework for applying clustering algorithms to analyze precipitation data from the Dobrogea region in Romania, covering 46 meteorological stations from 1965 to 2005. Three clustering methods—K-means, K-medoids, and DBSCAN—were employed to partition the stations based on their monthly precipitation patterns. The primary goal was to outline the implementation process, highlight the use of specific R packages, and demonstrate parameter tuning to optimize clustering performance. Validation measures, including internal and stability indices, were used to assess the quality of each clustering method. While initial results indicated that K-medoids offer stable clusters and DBSCAN effectively handles noise, further comparative analysis with additional methods is necessary to determine the most suitable clustering technique for precipitation data. This work serves as a practical guide for selecting, implementing, and validating clustering algorithms in environmental data analysis.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/08/e3sconf_eenviro2024_05027.pdf |
| spellingShingle | Saliba Youssef Barbulescu Alina Dumitriu Cristian Ștefan A critical approach to clustering precipitation series in the Dobrogea region, Romania E3S Web of Conferences |
| title | A critical approach to clustering precipitation series in the Dobrogea region, Romania |
| title_full | A critical approach to clustering precipitation series in the Dobrogea region, Romania |
| title_fullStr | A critical approach to clustering precipitation series in the Dobrogea region, Romania |
| title_full_unstemmed | A critical approach to clustering precipitation series in the Dobrogea region, Romania |
| title_short | A critical approach to clustering precipitation series in the Dobrogea region, Romania |
| title_sort | critical approach to clustering precipitation series in the dobrogea region romania |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/08/e3sconf_eenviro2024_05027.pdf |
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