TY  - JOUR
T1  - Clustering Methods and Algorithms in Data Mining: Review
AU - Arockiam, L. AU - Baskar, S.S. AU - Jeyasimman, L. 
JO  - Asian Journal of Information Technology
VL  - 11
IS  - 1
SP  - 40
EP  - 44
PY  - 2012
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2012.40.44
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2012.40.44
KW  - Agglomerative
KW  -divisive
KW  -clustering
KW  -mining
KW  -databases
KW  -image
AB  - 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.
ER  -