WeiXiang Cheng

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A gravity-based outliers detection algorithm GODA is presented. Considering that for a data point, both of the density around it and the distance between it and others can influence the outlier's definition, the algorithm can detect the crytic outliers in the dataset. This paper proposes the definitions and techniques firstly and then introducts the(More)
A MST clustering algorithm based on optimized grid (OGMST) is presented. On one hand,the OGMST dealt with datasets by the way of MST, on the other hand,it resolved the MST algorithm's limitation of unfit for multi-density datasets by the use of parameter automatic grid paritition technique and density threshold method, and it improved the efficiency and(More)
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