聚类算法是数据挖掘的核心技术。
聚类算法是数据挖掘中的重要方法。
聚类算法是数据挖掘领域中非常重要的技术。
Cluster arithmetic is a very important technology in the area of data mining.
传统聚类算法仅考虑属性相似性，较少利用对象间的相互关系。
Traditional clustering method for attribute space ignores the object relationship information.
因此，寻找一种行之有效的文本聚类算法已成为一个重要的研究课题。
Thus, it has become an increasingly important task to find an effective text clustering method.
这些算法在聚类过程中存在模糊性。
Basically there is fuzziness in the procedure of clustering.
实验测试表明算法具有较好的聚类效果。
Experimental tests show that this algorithm has a better clustering result.
实验结果表明该算法在聚类效率和性能上优于传统算法。
The experiment proves that this algorithm can get much better performance than traditional algorithms.
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.
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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