Data stream clustering: Difference between revisions

Revision as of 21:51, 12 January 2010

Revision as of 21:57, 12 January 2010

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In [[computer science]], data stream clustering is defined as the clustering of data that arrive continuously such as telephone records, multimedia data, financial transactions etc. Data stream clustering is usually studied under the [[streaming algorithm | data stream model, streaming algorithms | models]] of computation and the objective is, given a sequence of points, to maintain a consistently good clustering of the sequence observed so far, using a small amount of memory and time.

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