Uniqueness of the spatial median

By P. Milasevic, Gilles R. Ducharme. 1987

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Lili Su
2. Cong Xie
3. Yudong Chen
4. Jiaming Xu
5. Pavlo Mozharovskyi
6. Karl Mosler
7. Oluwasanmi Koyejo
8. Dong Yin

Citations in the corpus

• Distributed Statistical Machine Learning in Adversarial Settings (2017, methodology): “Geometric median is a generalization of median in one-dimension to multiple dimensions, and has been widely used in robust statistics [MNO + 10, MD + 87, Kem87, CCZ + 13].”
• Choosing Among Notions of Multivariate Depth Statistics (2020, background): “Depth notion Exact Approximate Mahalanobis O(n) — Lp O(n) — halfspace O ( nd−1 log(n) ) , O(n) O(kn) Rousseeuw and Struyf (1998) Dyckerhoff (2004) Dyckerhoff and Mozharovskyi (2016) Mozharovskyi, Mosler and Lange (2015) projection O(n), Liu and Zuo (2014) O(kn), Dyckerhoff (2004) simplicial O(n) O(k”