Computer Science ›› 2011, Vol. 38 ›› Issue (5): 145-148.

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DataStreams Clustering Algorithm Based on Density and Sliding Window

HU Ru,LIN Zhao-wen,KE Hong-li,MA Yan   

  • Online:2018-11-16 Published:2018-11-16

Abstract: Summarizing the advantages and disadvantages of the current main datastrcams clustering algorithms, this paper presented a new datastrcams clustering algorithm-DsStrcam. The algorithm uses the I}oublclaycr clustering framework, makes use of sliding window technology, clusters the datastreams dynamically based on the density. This algorithm can mine the datastrcams with arbitrary shape and grasp distribution of datastrcams dynamically.

Key words: DataStreams, Clustering, Density, Sliding window

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