Abstract
Projections of high-dimensional data onto low-dimensional subspaces provide insightful views for understanding multivariate relationships. This article discusses how to manually control the variable contributions to the projection. The user has control of the way a particular variable contributes to the viewed projection and can interactively adjust the variable's contribution. These manual controls complement the automatic views provided by a grand tour, or a guided tour, and give greatly improved flexibility to data analysts.
| Original language | English |
|---|---|
| Pages (from-to) | 464-480 |
| Number of pages | 17 |
| Journal | Journal of Computational and Graphical Statistics |
| Volume | 6 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1 Jan 1997 |
| Externally published | Yes |
Keywords
- Data visualization
- Dynamic graphics
- Grand tour
- Multivariate analysis
- Projection pursuit