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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 [[data stream model | streaming algorithm]] 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.
<!-- in contrary to the traditional clustering where data are static. -->
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