An adaptive rough fuzzy single pass algorithm for clustering large data sets

Asharaf, S and Murthy, Narasimha M (2003) An adaptive rough fuzzy single pass algorithm for clustering large data sets. In: Pattern Recognition, 36 (12). pp. 3015-3018.

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Abstract

Cluster analysis has been widely applied in many areas such as data mining, geographical data processing, medicine, classification of statistical findings in social studies and so on. Most ofthese domains deal with massive collections of data. Hence the methods to handle them must be efficient both in terms of the number of data set scans and memory usage.

Item Type:	Journal Article
Publication:	Pattern Recognition
Publisher:	Elsevier
Additional Information:	Copyright of this article belongs to Elsevier.
Department/Centre:	Division of Electrical Sciences > Computer Science & Automation
Date Deposited:	20 Apr 2007
Last Modified:	19 Sep 2010 04:37
URI:	http://eprints.iisc.ac.in/id/eprint/10676

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