%0 Journal Article
%T Analysis of Various Clustering Algorithms
%A Asst Prof. Sunila Godara
%A Ms. Amita Verma
%J International Journal of Innovative Technology and Exploring Engineering
%D 2013
%I IJITEE
%X Data clustering is a process of putting similar data into groups. A clustering algorithm partitions a data set into several groups such that the similarity within a group is larger than among groups. This paper reviews four types of clustering techniques- k-Means Clustering, Farther first clustering, Density Based Clustering, Filtered clusterer. These clustering techniques are implemented and analyzed using a clustering tool WEKA. Performance of the 4 techniques are presented and compared.
%K Data clustering
%K Density Based Clustering
%K Farther first clustering
%K Filtered clusterer
%K K-Means Clustering.
%U http://www.ijitee.org/attachments/File/v3i1/A0948063113.pdf