Computer Science ›› 2007, Vol. 34 ›› Issue (3): 159-161.
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Abstract: With strong ability for discovering arbitrary shape clusters and handling noise, grid-based data stream clustering algorithm efficiently resolves these problem of being very sensitive to the user-defined parameters and difficult to distinguish the density
Key words: Clustering, Data stream, Clustering parameter, Relative density
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