In [[computer science]], data stream clustering is defined as the clustering of data that arrive continuously insuch contraryas totelephone therecords, traditionalmultimedia data, financial transactions etc. Data stream clustering whereis usually studied under the data arestream model 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 statictime.
deals with the case of clustering data streams where new data arrive continuously<!-- in contrary to the traditional clustering where data are static. -->▼
▲ deals with the case of clustering data streams where new data arrive continuously in contrary to the traditional clustering where data are static.
(such as telephone records, large sets of web pages, multimedia data, financial transactions etc)
