Abstract
In Chapter 2, we have described the classical data analysis paradigm: a rectangular data matrix \(\underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle\thicksim}$}}{X} = {\left( {{x_{kj}}} \right)_{n \times p}}\) defines the relation between the set Ω = {1,…, n}of n individuals or elementary objects and a series of variables Y1,…, Yp, where each variable Y j assumes one single category from a range y j such that each cell (k,j) of the data matrix \(\underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle\thicksim}$}}{X}\) contains one single value xkj only.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bock, HH. (2000). Symbolic Data. In: Bock, HH., Diday, E. (eds) Analysis of Symbolic Data. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-57155-8_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-57155-8_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66619-6
Online ISBN: 978-3-642-57155-8
eBook Packages: Springer Book Archive