针对分布式数据流环境，提出基于核密度估计的分布数据流离群点检测算法。

This paper presents an algorithm for outlier detection in distributed data streams.

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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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研究局部切空间排列方法(LTSA)对离群点的敏感性，提出一种基于离群点检测的鲁棒局部切空间排列方法(RLTSA)。

The paper focuses on the sensitivity of local tangent space alignment (LTSA) to outliers, and presents a robust local tangent space alignment (RLTSA) based on outlier detection.

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研究局部切空间排列方法(LTSA)对离群点的敏感性，提出一种基于离群点检测的鲁棒局部切空间排列方法(RLTSA)。

The paper focuses on the sensitivity of local tangent space alignment (LTSA) to outliers, and presents a robust local tangent space alignment (RLTSA) based on outlier detection.

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