Prosection views: Dimensional inference through sections and projections

Prosection views: Dimensional inference through sections and projections (1994)

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by George W. Furnas , Andreas Buja

Venue:	Journal of Computational and Graphical Statistics
Citations:	26 - 5 self

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Datum	Value	Source
TITLE	Prosection views: Dimensional inference through sections and projections	INFERENCE
AUTHOR NAME	George W. Furnas	SVM HeaderParse 0.2
AUTHOR ADDR	Authors ’ Address: Bellcore, 445 South Street, P.O. Box 1910, Morristown, New Jersey, 07962-1910, USA	SVM HeaderParse 0.2
AUTHOR NAME	Andreas Buja	SVM HeaderParse 0.2
AUTHOR ADDR	Authors ’ Address: Bellcore, 445 South Street, P.O. Box 1910, Morristown, New Jersey, 07962-1910, USA	SVM HeaderParse 0.2
ABSTRACT	We present some basic properties of two general graphical techniques for constructing views of high-dimensional objects, projection and section. Projections can easily display aspects of structure that are only of low dimension, while sections, i.e., intersections of subspaces with a highdimensional object, can easily display structure of only low codimension (and hence often high dimension). However, compositions of sections and projections, here called prosections, can display aspects of structure of any intermediate dimension. These statements are relevant for data analysis: projections of data can be easily generated with x-yscatterplots, 3-D data rotations, and grand tours, while sections can be approximated in existing systems by scatterplot brushing and painting. Thus this paper is in part an investigation into the principles underlying these techniques.	SVM HeaderParse 0.2
YEAR	1994	INFERENCE
VENUE	Journal of Computational and Graphical Statistics	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	323--385	INFERENCE
VOLUME	3	INFERENCE
CITATIONS	52 found	ParsCit 1.0