دورية أكاديمية
Classification of Forest Fires in European Countries by Clustering Analysis Techniques
| العنوان: | Classification of Forest Fires in European Countries by Clustering Analysis Techniques |
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| المؤلفون: | SERİN, Hakan, KÖREZ, Muslu Kazım, TEKİN, Mehmet Emin, SİREN, Sinan |
| المصدر: | Volume: 27, Issue: 5 987-1001 ; 2147-835X ; Sakarya University Journal of Science ; Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi |
| بيانات النشر: | Sakarya Üniversitesi Sakarya University |
| سنة النشر: | 2023 |
| المجموعة: | DergiPark Akademik (E-Journals) |
| مصطلحات موضوعية: | Data mining method, ward method, k-means, cluster analysis, forest fire, Artificial Intelligence, Yapay Zeka, Environmental Sciences, Çevre Bilimleri, Environmental Engineering, Çevre Mühendisliği |
| الوصف: | The biggest threat to the forests, which are natural habitats in European countries, as they are in the whole world, is forest fires. The aim of this study is to group the 38 European countries which have completely accessible fire indexes between the years 2008 to 2022; with respect to their similarities in fire regimes; and to compare the obtained groups with respect to their fire indexes. The clustering technique, which is a data mining method, was used while making these comparisons since it would be more objective and realistic to group and evaluate the countries according to their similarities. In the K-Means technique 2 clusters, and in the Ward's method 3 clusters were obtained. In the K-Means technique, significant statistical differences were found between the 2 clusters in terms of all fire indexes (p |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | https://dergipark.org.tr/tr/download/article-file/3105020Test; https://dergipark.org.tr/tr/pub/saufenbilder/issue/80257/1288073Test |
| DOI: | 10.16984/saufenbilder.1288073 |
| الإتاحة: | https://doi.org/10.16984/saufenbilder.1288073Test https://dergipark.org.tr/tr/pub/saufenbilder/issue/80257/1288073Test |
| رقم الانضمام: | edsbas.651EE576 |
| قاعدة البيانات: | BASE |
| DOI: | 10.16984/saufenbilder.1288073 |
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