Journal
COMPUTATIONAL STATISTICS
Volume 15, Issue 1, Pages 73-87Publisher
PHYSICA-VERLAG GMBH & CO
DOI: 10.1007/s001800050038
Keywords
principal components; interval data; symbolic objects
Categories
Ask authors/readers for more resources
The present paper deals with the study of continuous interval data by means of suitable Principal Component Analyses (PCA). Statistical units described by interval data can be assumed as special cases of Symbolic Objects (SO) (Diday, 1987). In Symbolic Data Analysis (SDA), these data are represented as hypercubes. In the present paper, we propose some extensions of the PCA with the aim of representing, in a space of reduced dimensions, images of such hypercubes, pointing out differences and similarities according to their structural features.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available