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A comparison of algorithms for the multivariate L1-median

机译:多元L 1 -中值算法的比较

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摘要

The L 1-median is a robust estimator of multivariate location with good statistical properties. Several algorithms for computing the L 1-median are available. Problem specific algorithms can be used, but also general optimization routines. The aim is to compare different algorithms with respect to their precision and runtime. This is possible because all considered algorithms have been implemented in a standardized manner in the open source environment R. In most situations, the algorithm based on the optimization routine NLM (non-linear minimization) clearly outperforms other approaches. Its low computation time makes applications for large and high-dimensional data feasible.
机译:L 1 中值是具有良好统计特性的多元位置的鲁棒估计。有几种计算L 1 中值的算法。可以使用问题特定的算法,也可以使用常规的优化例程。目的是比较不同算法的精度和运行时间。这是可能的,因为所有考虑的算法已在开源环境R中以标准化方式实现。在大多数情况下,基于优化例程NLM(非线性最小化)的算法明显优于其他方法。它的计算时间短,因此适用于大型和高维数据。

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