Summary: The aim of this research is the application of data mining for detecting hidden patterns and relationships in spatial cancer databases. This study focuses on discrete and continuous spatial medical databases on which clustering techniques are applied and the efficient clusters were formed.
Key words: k-means, spatial data mining, clustering algorithm, dendogram, spatial distribution.