A Data Stream Clustering Algorithm Based Extension of Grid and Density

نویسنده

  • Yang Yongbin
چکیده

This study focuses on the summary data structure design and optimize the method of calculation of the mesh density and how to effectively deal with the problem of boundary points, combined with the sliding window mechanism and suggest improvements based on the mesh density of the data stream real-time clustering algorithm framework and the various parts of concrete realization of the algorithm.

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تاریخ انتشار 2013