An anomaly detection algorithm is presented based on improved KFCM cluster algorithm which can achieve partial best partition.

提出了一种改进的KFCM聚类异常检测算法，该算法可获得局部最优划分。

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The key problem in distributed association rules mining is to cluster partition in distributed environment. This paper presents an algorithm called D-CURE which is based on the principle of CURE.

在分布式关联规则挖掘中首先需要解决分布式环境下的聚类分区问题，该文基于CURE的工作原理，提出了D - CURE算法。

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The algorithm presents a clear and precise membership function for every cluster after data preprocessing by traditional grid partition.

在定义隶属度函数前先做网格划分，形成数据簇的基本形状，并提供真实的参数信息参与此后的隶属度函数定义。

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