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An Empirical Study on Evaluating Graph Based Clustering for HD Data Using Attribute SelectionBy V. Hemapriya, K.P.N.V. Satya Sree, K.V. Narasimha Reddy
Abstract: An attribute subset selection can be showed as a process of identifying and eliminating or removing a number of irrelevant and surplus attributes (features) because irrelevant attributes do not give predictive accuracy and the surplus attributes provide the information that is already present in the other attributes. Attribute selection involves identifying a subset of the most useful attributes that produces the similar results as the final set of results. An …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 2, 2014 · pp. 33–40 Read article →