Work

Artefactual Structure from Least-Squares Multidimensional Scaling

Year: 2002
Type: book-chapter
Abstract: We consider the problem of illusory or artefactual structure from the vi-sualisation of high-dimensional structureless data. In particular we ex-amine the role of the distance metric in the use of topographic mappings based on the statistical field of multidimensional scaling. We show that the use of a squared Euclidean metric (i.e. the SSTRESS measure) gives rise to an annular structure when the input data is drawn from a high-dimensional isotropic distribution, and we provide a theoretical justifica-tion for this observation. 1
Authors: Nicholas P. Hughes, David Lowe
Language: English
Open Access status: green
OpenAlex ID: W2102776626
FWCI: 0.912
Cites: 10
Cited by: 2
Related to: 10