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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
In conclusion, 81 cities in Turkey were classified.
📌 3 Key Takeaways
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Objective & Hypothesis:In thisstudy,Cluster Analysis, Discriminant Analysis, Principal Components Analysis and Multidimensional Scaling Analysis were considered briefly.
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Key Findings & Data:These techniques were applied to classify cities in Turkey by the help of 16 social and economic variables.
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Conclusion & Impact:In conclusion, 81 cities in Turkey were classified.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In thisstudy,Cluster Analysis, Discriminant Analysis, Principal Components Analysis and Multidimensional Scaling Analysis were considered briefly. These techniques were applied to classify cities in Turkey by the help of 16 social and economic variables. In conclusion, 81 cities in Turkey were classified.
Özet
Çalışmada Kümeleme Analizi, Diskriminant Analizi, Temel Bileşenler Analizi ve Çok Boyutlu Ölçekleme Analizi kısaca ele alınmıştır. Bu teknikler Türkiye'deki illerin 16 tane sosyo-ekonomik değişkene göre sınıflandırılmasında kullanılmıştır. Sonuç olarak Türkiye'deki 81 il her bir analizde ayrı ayrı sınıflandırılmıştır.
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Cite This Article
FİLİZ, Z. (2022). Different Approaches Classification According to Socio-Economic Levels of Cities. Eskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi, Cilt: 6 - Sayı: 1, 77–100. https://ajindex.com/articles/506153