Work

Lens depth function and k-relative neighborhood graph: versatile tools for ordinal data analysis

Year: 2016

Type: preprint

Abstract: In recent years it has become popular to study machine learning problems in a setting of ordinal distance information rather than numerical distance measurements. By ordinal distance information we refer to binary answers to distance comparisons such as $d(A,B)

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1602.07194

Authors: Kleindessner, Matthäus, von Luxburg, Ulrike

Language: English

Topic: Topological and Geometric Data Analysis

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2285042231

Cites: 52

Cited by: 9

Related to: 10