Black Sea Journal of Engineering and Science

Yazarlar: Tohid YOUSEFİ, Mehmet Serhat ODABAS, Recai OKTAŞ

Konular:Mühendislik

Anahtar Kelimeler:Algorithm,Clustering,Hierarchical clustering,Partitional clustering,Density-based clustering,Grid-based clustering

Özet: Data mining is the process of extracting meaningful information from large databases using many techniques and algorithms. Data mining is often referred to as "information discovery in data" and many methods are used to find this information. The clustering method, which is one of the basic methods of data mining, is one of the most powerful methods to analyze these data, while data is being produced rapidly in today's world. Clustering is the technique of finding natural groupings or clusters in data based on some similarity distances. Also, clustering is essentially a fundamental step in many different data analyzes. Therefore, different methods used in clustering algorithms are briefly described in this review.

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