Extracting required patterns from huge amount of mixed data is an area of interest to the researchers. Various promising and already established algorithms are currently using in the name of Data Clustering. Clustering is used for partitioning the data into number of data sets or group. In this paper, we review four popular clustering algorithms from data mining perspective.
History
Publication title
International Journal of Database Theory and Application
Pagination
17-33
ISSN
2005-4270
Department/School
School of Information and Communication Technology