Clustering of Precipitation in the Black Sea Region with by Fuzzy C-Means and Silhouette Index Analysis
Yıl: 2023 Cilt: 6 Sayı: 3 Sayfa Aralığı: 210 - 218 Metin Dili: İngilizce DOI: 10.34248/bsengineering.1296734 İndeks Tarihi: 14-08-2023
Clustering of Precipitation in the Black Sea Region with by Fuzzy C-Means and Silhouette Index Analysis
Öz: In recent years, there has been a noticeable increase in the number of disasters caused by the effects of global climate change. In this context, various studies are carried out in our country and in the world in order to reduce the effects of climate change. The classification of regions affected by climate change into similar classes in terms of climate parameters is important in terms of applying similar methods in studies to be carried out in these regions. Thus, a correct strategy will be determined in the studies to be carried out in order to reduce the effects of climate change. The observation records evaluated within the scope of the study were used from 31 stations in the Black Sea Region of the Turkish State Meteorological Service, covering the period between 1982 and 2020. Cluster analysis was carried out using the Fuzzy C-Means. As a result of the study, the optimum cluster among the clusters formed by Fuzzy C-Means was determined by Silhouette index analysis. The optimal number of clusters is suggested as 4.
Anahtar Kelime: Clustering of Precipitation in the Black Sea Region with by Fuzzy C-Means and Silhouette Index Analysis
Öz: In recent years, there has been a noticeable increase in the number of disasters caused by the effects of global climate change. In this context, various studies are carried out in our country and in the world in order to reduce the effects of climate change. The classification of regions affected by climate change into similar classes in terms of climate parameters is important in terms of applying similar methods in studies to be carried out in these regions. Thus, a correct strategy will be determined in the studies to be carried out in order to reduce the effects of climate change. The observation records evaluated within the scope of the study were used from 31 stations in the Black Sea Region of the Turkish State Meteorological Service, covering the period between 1982 and 2020. Cluster analysis was carried out using the Fuzzy C-Means. As a result of the study, the optimum cluster among the clusters formed by Fuzzy C-Means was determined by Silhouette index analysis. The optimal number of clusters is suggested as 4.
Anahtar Kelime: Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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| APA | KIR G, ÜLKE A, Zeybekoğlu U (2023). Clustering of Precipitation in the Black Sea Region with by Fuzzy C-Means and Silhouette Index Analysis. , 210 - 218. 10.34248/bsengineering.1296734 |
| Chicago | KIR GÜRKAN,ÜLKE ASLI,Zeybekoğlu Utku Clustering of Precipitation in the Black Sea Region with by Fuzzy C-Means and Silhouette Index Analysis. (2023): 210 - 218. 10.34248/bsengineering.1296734 |
| MLA | KIR GÜRKAN,ÜLKE ASLI,Zeybekoğlu Utku Clustering of Precipitation in the Black Sea Region with by Fuzzy C-Means and Silhouette Index Analysis. , 2023, ss.210 - 218. 10.34248/bsengineering.1296734 |
| AMA | KIR G,ÜLKE A,Zeybekoğlu U Clustering of Precipitation in the Black Sea Region with by Fuzzy C-Means and Silhouette Index Analysis. . 2023; 210 - 218. 10.34248/bsengineering.1296734 |
| Vancouver | KIR G,ÜLKE A,Zeybekoğlu U Clustering of Precipitation in the Black Sea Region with by Fuzzy C-Means and Silhouette Index Analysis. . 2023; 210 - 218. 10.34248/bsengineering.1296734 |
| IEEE | KIR G,ÜLKE A,Zeybekoğlu U "Clustering of Precipitation in the Black Sea Region with by Fuzzy C-Means and Silhouette Index Analysis." , ss.210 - 218, 2023. 10.34248/bsengineering.1296734 |
| ISNAD | KIR, GÜRKAN vd. "Clustering of Precipitation in the Black Sea Region with by Fuzzy C-Means and Silhouette Index Analysis". (2023), 210-218. https://doi.org/10.34248/bsengineering.1296734 |
| APA | KIR G, ÜLKE A, Zeybekoğlu U (2023). Clustering of Precipitation in the Black Sea Region with by Fuzzy C-Means and Silhouette Index Analysis. Black Sea Journal of Engineering and Science, 6(3), 210 - 218. 10.34248/bsengineering.1296734 |
| Chicago | KIR GÜRKAN,ÜLKE ASLI,Zeybekoğlu Utku Clustering of Precipitation in the Black Sea Region with by Fuzzy C-Means and Silhouette Index Analysis. Black Sea Journal of Engineering and Science 6, no.3 (2023): 210 - 218. 10.34248/bsengineering.1296734 |
| MLA | KIR GÜRKAN,ÜLKE ASLI,Zeybekoğlu Utku Clustering of Precipitation in the Black Sea Region with by Fuzzy C-Means and Silhouette Index Analysis. Black Sea Journal of Engineering and Science, vol.6, no.3, 2023, ss.210 - 218. 10.34248/bsengineering.1296734 |
| AMA | KIR G,ÜLKE A,Zeybekoğlu U Clustering of Precipitation in the Black Sea Region with by Fuzzy C-Means and Silhouette Index Analysis. Black Sea Journal of Engineering and Science. 2023; 6(3): 210 - 218. 10.34248/bsengineering.1296734 |
| Vancouver | KIR G,ÜLKE A,Zeybekoğlu U Clustering of Precipitation in the Black Sea Region with by Fuzzy C-Means and Silhouette Index Analysis. Black Sea Journal of Engineering and Science. 2023; 6(3): 210 - 218. 10.34248/bsengineering.1296734 |
| IEEE | KIR G,ÜLKE A,Zeybekoğlu U "Clustering of Precipitation in the Black Sea Region with by Fuzzy C-Means and Silhouette Index Analysis." Black Sea Journal of Engineering and Science, 6, ss.210 - 218, 2023. 10.34248/bsengineering.1296734 |
| ISNAD | KIR, GÜRKAN vd. "Clustering of Precipitation in the Black Sea Region with by Fuzzy C-Means and Silhouette Index Analysis". Black Sea Journal of Engineering and Science 6/3 (2023), 210-218. https://doi.org/10.34248/bsengineering.1296734 |
