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Research of Detection of Outliers Based on Locally Linear Weighted Value
基于局部线性加权的离群点检测方法

Keywords: Loeally linear embedding,High dimensional data,Nonlinear dimensionality reduction,Outliers
局部线性嵌入
,高维数据,非线性降维,离群数据

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Abstract:

The data dimension reduction is the main method that can enhance the outliers mining efficiency based on higher-dimension data set.The research of detection of outliers based on locally linear weighted value is proposed after analyzing the advantages and disadvantages of the classical outlier mining algorithm in the paper.With the idea of Lo- cal Linear Embedding,the algorithm tries to find distribution of internal embedding of the samples,and determines value-weighted by combining distance formula with dis...

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