TY  - JOUR
T1  - Overview of Clustering Techniques in Agriculture Data Mining
AU - Jeyasimman, L. AU - Baskar, S.S. AU - Arockiam, L. 
JO  - Agricultural Journal
VL  - 6
IS  - 5
SP  - 222
EP  - 225
PY  - 2011
DA  - 2001/08/19
SN  - 1816-9155
DO  - aj.2011.222.225
UR  - https://makhillpublications.co/view-article.php?doi=aj.2011.222.225
KW  - medical imag
KW  -data mining
KW  -agicultural issues
KW  -divisive
KW  -Agglomerative
KW  -Trichirappalli
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 medical image databases are also discussed. Same techniques will be applied to agriculture issues.
ER  -