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计算机科学 2009
Probabilistic Density-based Clustering of Uncertain Data
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Abstract:
Recently,many new applications such as sensor data monitoring and mobile object tracking raise up the issue of uncertain data management.The intrinsic uncertainty of the data in such applications offers new challenges for traditional data processing methods.The focus of the paper is clustering of uncertain data.A probabilistic density-based clustering algorithm for uncertain data was proposed based on the probability distribution of uncertainty,with R-tree and probability threshold index for efficiency.Simu...