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Clustering text data streams is an important issue in data mining community and has a number of applica- tions such as news group filtering,text crawling,document organization and topic detection and tracing etc.However, most methods axe similaxity-based approaches and only use the TF*IDF scheme to represent the semantics of text data and often lead to poor clustering quality.Recently,researchers argue that semantic smoothing model is more efficient than the existing TF*IDF scheme for improving text clus... 相似文献
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