提出了一种基于密度网格的数据流聚类算法。

This paper introduced a density grid-based data stream clustering algorithm.

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实验表明，该算法对于解决数据流聚类问题非常有效。

Experimental results show that the algorithm is very effective to solve data stream clustering.

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现有的数据流聚类算法无法处理高维混合属性的数据流。

Existed data stream clustering algorithms can not deal with the data stream with high-dimensional heterogeneous attributes.

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