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Achieve privacy-preserving simplicial depth query...
Journal article

Achieve privacy-preserving simplicial depth query over collaborative cloud servers

Abstract

The simplicial depth (SD) of a query point q∈ℝd$$q\in \mathbb {R}^{d}$$ with respect to a dataset S⊂ℝd$$S\subset \mathbb {R}^{d}$$ is defined based on counting all (d + 1)-dimensional simplices obtained from S that contain q. The simplicial depth is a ranking function which is frequently used in order to sort a multivariate dataset. In the higher dimension d, no better algorithm is known than the brute force method which takes Θ(nd+ 1) time, …

Authors

Mahdikhani H; Shahsavarifar R; Lu R; Bremner D

Journal

Peer-to-Peer Networking and Applications, Vol. 13, No. 1, pp. 412–423

Publisher

Springer Nature

Publication Date

1 2020

DOI

10.1007/s12083-019-00810-7

ISSN

1936-6442