Abstract: Retrieval of information from the databases is now a days significant issues. The thrust of
information for decision making is challenging one. To overcome this problem, different techniques have been
developed for this purpose. One of techniques is data clustering. In this study, data clustering methods are
discussed along with its two traditional approaches and their algorithms. Some applications of data clustering
like data mining using data clustering and similarity searching in medial image databases are also discussed.