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A Fast Distance-Based Algorithm to Detect Outliers | Science Publications

机译:快速的基于距离的离群值检测算法科学出版物

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摘要

> A fast distance-based algorithm for outlier detection will be proposed. It was found that the proposed algorithm reduced the number of distance calculations compared to the nested-loop algorithm. Test results were performed on different well-known data sets. The results showed that the proposed algorithm gave a reasonable amount of CPU time saving.
机译: >将提出一种基于快速距离的离群值检测算法。发现与嵌套循环算法相比,该算法减少了距离计算的次数。测试结果是在不同的知名数据集上执行的。结果表明,该算法可以合理地节省CPU时间。

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