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| Article Name : | | | DATA CLUSTERING ALGORITHMS – A SURVEY | | Author Name : | | | P.PRABHU AND N.ANBAZHAGAN | | Publisher : | | | Ashok Yakkaldevi | | Article Series No. : | | | GRT-2159 | | Article URL : | |  | Author Profile View PDF In browser | | Abstract : | | | Data clustering is the process of dividing data elements into classes or clusters so that items in the same class are as similar as possible, and items in different classes are as dissimilar as possible. Clustering is used in many areas, including artificial intelligence, biology, customer relationship management, data compression, data mining information retrieval, image processing, machine learning marketing, medicine, pattern recognition, psychology and statistics. This paper gives survey of various types of clustering algorithms. It describes its functionality, parameters needed and the time and space complexity required for clustering. | | Keywords : | | - Hierarchical clustering.,
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