The grand tour: a tool for viewing multidimensional data
SIAM Journal on Scientific and Statistical Computing
The elements of graphing data
Computational geometry: an introduction
Computational geometry: an introduction
Statistical analysis with missing data
Statistical analysis with missing data
A survey of the Hough transform
Computer Vision, Graphics, and Image Processing
Looking at large data sets using binned data plots
Computing and graphics in statistics
The algorithm design manual
Computational geometry in C (2nd ed.)
Computational geometry in C (2nd ed.)
The grammar of graphics
Clustering Algorithms
Laplacian Eigenmaps for dimensionality reduction and data representation
Neural Computation
Effect ordering for data displays
Computational Statistics & Data Analysis - Data visualization
Random Graphs for Statistical Pattern Recognition
Random Graphs for Statistical Pattern Recognition
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Clutter Reduction in Multi-Dimensional Data Visualization Using Dimension Reordering
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
A Projection Pursuit Algorithm for Exploratory Data Analysis
IEEE Transactions on Computers
Continuous nonlinear dimensionality reduction by kernel eigenmaps
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Exploring high-D spaces with multiform matrices and small multiples
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
Visual analytics: Storylines: Visual exploration and analysis in latent semantic spaces
Computers and Graphics
Visual Analysis of the Air Pollution Problem in Hong Kong
IEEE Transactions on Visualization and Computer Graphics
An optimization-based approach to dynamic data transformation for smart visualization
Proceedings of the 13th international conference on Intelligent user interfaces
Visual Verification of Hypotheses
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Visual Evaluation of Clustered Molecules in the Process of New Drugs Design
SG '09 Proceedings of the 10th International Symposium on Smart Graphics
Visual analytics of time dependent 2D point clouds
Proceedings of the 2009 Computer Graphics International Conference
AutoVis: automatic visualization
Information Visualization
Visual data mining and discovery in multivariate data using monotone n-D structure
KONT'07/KPP'07 Proceedings of the First international conference on Knowledge processing and data analysis
Timeseer: detecting interesting distributions in multiple time series data
Proceedings of the 5th International Symposium on Visual Information Communication and Interaction
Selecting good views of high-dimensional data using class consistency
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
Assisted descriptor selection based on visual comparative data analysis
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
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We introduce a method for organizing multivariate displays and for guiding interactive exploration through high-dimensional data. The method is based on nine characterizations of the 2D distributions of orthogonal pairwise projections on a set of points in multidimensional Euclidean space. These characterizations include such measures as density, skewness, shape, outliers, and texture. Statistical analysis of these measures leads to ways for 1) organizing 2D scatterplots of points for coherent viewing, 2) locating unusual (outlying) marginal 2D distributions of points for anomaly detection, and 3) sorting multivariate displays based on high-dimensional data, such as trees, parallel coordinates, and glyphs.