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 six types of clustering techniques- k-Means Clustering, Hierarchical Clustering, DBScan clustering, Density Based Clustering, Optics , EM Algorithm. These clustering techniques are implemented and analysed using a clustering tool WEKA.Performance of the 6 techniques are presented and compared.
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