Asian Journal of Information Technology
ISSN: Online 1993-5994ISSN: Print 1682-3915
Abstract
Retrieval of information from the databases is now a day’s 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.
How to cite this article:
L. Arockiam, S.S. Baskar and L. Jeyasimman. Clustering Methods and Algorithms in Data Mining: Review.
DOI: https://doi.org/10.36478/ajit.2012.40.44
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2012.40.44