Kümeleme Analizine Farklı Yaklaşımlar ve Sosyal Bilimler Alanında Uygulamalar

Edited by Prof. Dr. Selay Giray Yakut and Assoc. Prof. Dr. Özlem Ergüt, this book is a comprehensive study addressing cluster analysis, a statistical method, with its theoretical and practical aspects. The work focuses on the use of clustering methods, frequently used in data mining and machine learning, within the social sciences. In addition to classical clustering algorithms, different approaches such as fuzzy clustering, model-based clustering, and non-hierarchical methods are detailed in the book. Beyond theoretical knowledge, application examples using real data sets from various social science disciplines (economics, education, marketing, etc.) are presented. Thus, it aims to help readers understand the processes of discovering and classifying patterns in complex data structures through concrete examples. The book serves as an up-to-date and practical resource guiding researchers and students in separating data into meaningful groups.