(2) 点的离群程度 可以通过定义对象的偏离程度来给对象打分——离群因子 (Outlier Factor)或离群值得分(Outlier Score),即都为离群 点的情况下,也还有分高和分低的区别。
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采用局部离群挖掘方法计算离群候选对象的离群因子,检测出异常攻击。
It uses local outlier mining method to count the Local Outlier Factor(LOF) of the outlier candidated object and detects anomaly attacks.
针对空间数据集的特性,提出一种基于空间局部偏离因子(SLDF)的离群点检测算法。
According to the characteristics of spatial data sets, this paper proposes an outlier detection algorithm based on the Space Local Deviation Factor (SLDF).
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