Journals / Black Sea Journal of Engineering and Science / 2026 / Cilt: 2 Sayı: 2

Evaluation of Dairy Cattle Milk Production in Black Sea Region by Cluster Analysis

Cem Tırınk(ONDOKUZ MAYIS UNIVERSITY)0000-0001-6902-5837
Lütfi Bayyurt(ONDOKUZ MAYIS UNIVERSITY)0000-0003-2613-9302
Samet Hasan Abacı(ONDOKUZ MAYIS UNIVERSITY)0000-0002-1341-4056
Hasan Önder(ONDOKUZ MAYIS UNIVERSITY)0000-0002-8404-8700
Pages
39–41
Publication Date
2019-04-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As a result of cluster analyzes for milk production in Black Sea Region shows that two groups such as Artvin, Rize, Giresun, Sinop, Gumushane, Zonguldak, Bartin, Duzce, Karabuk, Trabzon, Tokat, Bayburt, Bolu, Samsun and Corum, Ordu, Kastamonu, Amasya .

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The aim of the study evaluates to the situation of milk production in dairy cattle for 18 cities in Black Sea Region.
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Key Findings & Data:For this aim, 18 cities have been compared and classified about milk production.
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Conclusion & Impact:As a result of cluster analyzes for milk production in Black Sea Region shows that two groups such as Artvin, Rize, Giresun, Sinop, Gumushane, Zonguldak, Bartin, Duzce, Karabuk, Trabzon, Tokat, Bayburt, Bolu, Samsun and Corum, Ordu, Kastamonu, Amasya .
🔬Design:Araştırma Makalesi
📍Scope:2013 Verileri
⚙️Variables:Cluster analysis · Dairy cattle · Milk production

Abstract

The aim of the study evaluates to the situation of milk production in dairy cattle for 18 cities in Black Sea Region. For this aim, 18 cities have been compared and classified about milk production. Data is including numbers of dairy cattle, milking dairy cattle and dairy cattle milk production for Black Sea Region. The data were obtained from Turkish Statistical Institute between 2013 and 2017 years. As a result of cluster analyzes for milk production in Black Sea Region shows that two groups such as Artvin, Rize, Giresun, Sinop, Gumushane, Zonguldak, Bartin, Duzce, Karabuk, Trabzon, Tokat, Bayburt, Bolu, Samsun and Corum, Ordu, Kastamonu, Amasya .

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Cite This Article

Tırınk, C., Bayyurt, L., Abacı, S. H., Önder, H. (2019). Evaluation of Dairy Cattle Milk Production in Black Sea Region by Cluster Analysis. Black Sea Journal of Engineering and Science, Cilt: 2 Sayı: 2, 39–41. https://ajindex.com/articles/1467523

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References (10)

  1. Cakmak Z. 1999. Evaluation of validity problem and clustering analysis. DUJ Soc Sci, (3): 87-205.
  2. Ceylan Z, Gursev S, Bulkan S. 2017. Evaluation of customer profile in individual pension sector by two-step cluster analysis. IJIT, 10(4): 475-485.
  3. Dogan O, Kara N, Tonguc M. 2018. Investigation of Genetic Relationship with Yield and Essential Oil Content of Anise Populations. BSJ Agri, 1(4): 110-116.
  4. Gevrekci Y, Atac FE, Takma C, Akbas Y, Taskin T. 2011. Classification of west Anatolian cities for sheep production. Kafkas Univ Vet Fak Derg, 17(5): 755-760.
  5. Isildar E. 2017. Examination of health indicators with multidimensional scaling and clustering analysis. Master Thesis, Istanbul University, Institute of Social Sciences.
  6. URL-1: https://classroom.synonym.com/multivariate-statistical-analysis-2448.html (access date: 06.09.2018).
  7. TUIK. 2017. Turkish Statistical Institute: http://www.tuik.gov.tr (access date: 06.09.2018).
  8. Yigit E. 2007. Investigating of multidimensional analysis methods an application. Master Thesis, Ondokuz Mayıs University, Institute of Science.
  9. Celik S. 2013. Classification of provinces in Turkey according to health indicators by cluster analysis. J Dogus Univ, 14(2): 175-194.
  10. Kilic I, Ozbeyaz C. 2010. The usage of fuzzy clustering analysis in sheep breeding and an application. Kocatepe Vet J, 3(2): 31-37.