abnormal address

Data stream clustering is an important issue in data stream mining. Most of the existing algorithms adopted K medians ( means) method to solve this problem, which are not suitable to address the problem of clustering high dimensional or abnormal distributed data streams.

数据流聚类是数据流挖掘研究的一个重要内容，已有的数据流聚类算法大多采用k中心点（均值）方法对数据进行聚类，不能对数据分布不规则以及高维空间数据流进行有效聚类。

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