According to the characteristics of spatial data sets, this paper proposes an outlier detection algorithm based on the Space Local Deviation Factor (SLDF).
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。
The algorithm uses SLDF to measure the deviate degree of space points object. It calculates all the points' SLDF, sorts by their values, and uses the top M as the space outlier.
利用SLDF度量空间点对象的离群程度，计算空间数据集中点对象的SLDF值并对其进行排序，将取值较大的前M个点对象作为空间离群点。
The algorithm uses SLDF to measure the deviate degree of space points object. It calculates all the points' SLDF, sorts by their values, and uses the top M as the space outlier.
利用SLDF度量空间点对象的离群程度，计算空间数据集中点对象的SLDF值并对其进行排序，将取值较大的前M个点对象作为空间离群点。
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