Process of Extracting Uncover Patterns from Data: A Review
Julian Dermoudy, Byeong Ho Kang, Debnath Bhattacharyya, Seung-Hwan Jeon, A Alisherov Farkhod · eCite Digital Repository (University of Tasmania) · 2009
(*correspondent author) 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.