Abstract
Clustering is a way that classifies the raw data reasonably and searches the hidden patterns that may exist in datasets. It is a process of grouping data objects into disjoint clusters so that data in the same cluster are similar, and data belonging to different cluster are differ. Many algorithms have been developed for clustering. In this paper we are reviewing different clustering algorithms like K-Means , HAC , SOM and their comparison by applying hybrid approach on different datasets. Keywords: Clustering Algorithms, Data Mininig, HAC, SOM, K-Means
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