Next:Related
WorkUp:IntroductionPrevious:Introduction
Multivariate Data Display
Several techniques have been proposed to display multivariate data.

Axis reconfiguration techniques, such as parallel coordinates [11,22]
and glyphs [3,6,19].

Dimensional embedding techniques, such as dimensional stacking [17],
trellis displays [5] and worlds within
worlds [8].

Dimensional subsetting, such as scatterplots [7].

Dimensional reduction techniques, such as multidimensional scaling [1,16,24],
principal component analysis [13]
and selforganizing maps [15].
Problem
Most of these techniques do not scale well with respect to size.
Our Objectives

Interactive visualization of large multivariate datasets on parallel
coordinates.

Using a hierarchical approach that presents a multiresolutional view of
the data.

Suite of navigation tools to facilitate the systematic discovery of data
trends and hidden patterns.
Next:Related
WorkUp:IntroductionPrevious:Introduction