The Open UniversitySkip to content
 

Visualisation in multivariate and multidimensional data analysis

Gower, John (2003). Visualisation in multivariate and multidimensional data analysis. In: Proceedings of the 54th ISI Session, 13-20 August 2003, Berlin, Germany, Information not supplied, pp. 101–104.

URL: http://isi.cbs.nl/iamamember/cd3/abstracts/papers/...
Google Scholar: Look up in Google Scholar

Abstract

Visualisation may be used (a) in developing and presenting methodology and (b) in presenting the results of statistical analysis. Examples of both uses are discussed but mostly we are concerned with (b). Even within (b) we may distinguish between the basic mode of presentation and ancillary information needed to interpret diagrams correctly and which is rarely given by computer-produced visualisations. Information is needed on scaling of axes and geometrical concepts such as distance, inner-product, projections neighbourhood, angle, area, etc., and their interpretative value. Illustrations of basic notions will be driven by Procrustes analysis, multidimensional scaling, correspondence analysis, biplots, and asymmetry analysis. Both continuous and categorical values are considered. Some tentative proposals are made about labelling diagrams with information needed for their proper interpretation. The aim is to have self explanatory visualisations. The suggestions need further development and need to be extended to cover a much wider range of statistical disciplines.

Item Type: Conference Item
Copyright Holders: 2003 The Author
Academic Unit/Department: Mathematics, Computing and Technology > Mathematics and Statistics
Item ID: 22650
Depositing User: Sarah Frain
Date Deposited: 26 Aug 2010 13:38
Last Modified: 02 Dec 2010 21:02
URI: http://oro.open.ac.uk/id/eprint/22650
Share this page:

Actions (login may be required)

View Item
Report issue / request change

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk