The state-of-the-art on tours for dynamic visualization of high-dimensional data
From MaRDI portal
Publication:6602368
DOI10.1002/wics.1573zbMATH Open1544.62092MaRDI QIDQ6602368
Earo Wang, H. Sherry Zhang, Natalia Pinheiro da Silva, Stuart Lee, Dianne Cook, Ursula Laa, Nicholas Spyrison
Publication date: 11 September 2024
Published in: Wiley Interdisciplinary Reviews. WIREs Computational Statistics (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Reactive programming for interactive graphics
- Extending the GGobi pipeline from R. Rapid prototyping of interactive visualizations
- Analysis of a complex of statistical variables into principal components.
- GGobi: evolving from XGobi into an extensible framework for interactive data visualization
- Xgobi vs the C2: Results of an experiment comparing data visualization in a 3-D virtual reality environment with a 2-D workstation display
- The plane with parallel coordinates
- Asymptotics of graphical projection pursuit
- An algorithm for deciding the number of clusters and validation using simulated data with application to exploring crop population structure
- Eulerian tour algorithms for data visualization and the \({{\mathtt PairViz}}\) package
- Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
- Principal component analysis: a review and recent developments
- The Grand Tour: A Tool for Viewing Multidimensional Data
- A Projection Pursuit Algorithm for Exploratory Data Analysis
- Visualizing statistical models: Removing the blindfold
- A Slice Tour for Finding Hollowness in High-Dimensional Data
- Burning Sage: Reversing the Curse of Dimensionality in the Visualization of High-Dimensional Data
- Visualization of multidimensional data using modifications of the Grand Tour
- Spatial modelling of the two‐party preferred vote in Australian federal elections: 2001–2016
- Image grand tour
This page was built for publication: The state-of-the-art on tours for dynamic visualization of high-dimensional data