A critical approach to clustering precipitation series in the Dobrogea region, Romania
A critical approach to clustering precipitation series in the Dobrogea region, Romania
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Publisher
Les Ulis: EDP Sciences
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Language
English
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Les Ulis: EDP Sciences
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Scope and Contents
Contents
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 prima...
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Full title
A critical approach to clustering precipitation series in the Dobrogea region, Romania
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TN_cdi_doaj_primary_oai_doaj_org_article_466b6c03a8634847be8baf961cc397d4
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_466b6c03a8634847be8baf961cc397d4
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ISSN
2267-1242,2555-0403
E-ISSN
2267-1242
DOI
10.1051/e3sconf/202560805027
