Visualizing Multi Dimensional Data

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Author(s): César García-Osorio (University of Burgos, Spain)and Colin Fyfe (The University of Paisley, UK)
Copyright: 2008
Pages: 41
Source title: Successes and New Directions in Data Mining
Source Author(s)/Editor(s): Pascal Poncelet (Ecole des Mines d'Ales, France), Florent Masseglia (Project AxIS-INRIA, France)and Maguelonne Teisseire (Universite Montpellier, France)
DOI: 10.4018/978-1-59904-645-7.ch011

Keywords: Data Mining / Data Mining and Databases / Information Science Reference / Library & Information Science

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Abstract

This chapter gives a survey of some existing methods for visualizing multi dimensional data, that is, data with more than 3 dimensions. To keep the size of the chapter reasonably small, we have limited the methods presented by restricting ourselves to numerical data. We start with a brief history of the field and a study of several taxonomies, then we propose our own taxonomy and use it to structure the rest of the chapter. Throughout the chapter the iris data set if used to illustrate most of the methods since this is a data set with which many readers will be familiar. We end with a list of freely available software and a table that gives a quick reference for the bibliography of the methods presented.

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