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A Grid-Based Noise Filtering Algorithm

机译:基于网格的噪声过滤算法

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摘要

Conventional grid-based noise detection algorithm may take boundary points of clustering for noises. So, A method for detection of the boundary of clusters and the noises was presented in this paper, then a improved gird-based algorithm for noises detection is given. As shown by our experimental results, this algorithm improved the accuracy of noises detection; the runtime of ours is almost the same as that of conventional one and scale well.
机译:常规的基于网格的噪声检测算法可以获取噪声的聚类的边界点。因此,本文提出了一种检测聚类边界和噪声的方法,然后给出了一种改进的基于网格的噪声检测算法。实验结果表明,该算法提高了噪声检测的准确性。我们的运行时间几乎与传统运行时间相同,并且可以很好地扩展。

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