Dust & magnet: multivariate information visualization using a magnet metaphor
Information Visualization
Visual exploration of genetic likelihood space
Proceedings of the 2006 ACM symposium on Applied computing
Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization
IEEE Transactions on Visualization and Computer Graphics
Measuring Data Abstraction Quality in Multiresolution Visualizations
IEEE Transactions on Visualization and Computer Graphics
Enabling Automatic Clutter Reduction in Parallel Coordinate Plots
IEEE Transactions on Visualization and Computer Graphics
XmdvtoolQ:: quality-aware interactive data exploration
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
A Taxonomy of Clutter Reduction for Information Visualisation
IEEE Transactions on Visualization and Computer Graphics
Theoretical Foundations of Information Visualization
Information Visualization
Information Visualization
Surveying the complementary role of automatic data analysis and visualization in knowledge discovery
Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration
VIEW'06 Proceedings of the 1st first visual information expert conference on Pixelization paradigm
ACM SIGKDD Explorations Newsletter
Journal of Visual Languages and Computing
Wakame: sense making of multi-dimensional spatial-temporal data
Proceedings of the International Conference on Advanced Visual Interfaces
Proceedings of the International Conference on Advanced Visual Interfaces
Visualization of BP neural network using parallel coordinates
Proceedings of the 3rd International Symposium on Visual Information Communication
Human-centered visualization environments
Human-centered visualization environments
Journal of Visual Languages and Computing
MusiCube: a visual music recommendation system featuring interactive evolutionary computing
Proceedings of the 2011 Visual Information Communication - International Symposium
InfoShape: high-level views of multidimensional information
Proceedings of the 2011 Visual Information Communication - International Symposium
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
ACM Transactions on Intelligent Systems and Technology (TIST)
Combining pixelization and dimensional stacking
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Analyzing the role of dimension arrangement for data visualization in radviz
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Exploring the notion of ‘clutter' in euler diagrams
Diagrams'06 Proceedings of the 4th international conference on Diagrammatic Representation and Inference
The product explorer: decision making with ease
Proceedings of the International Working Conference on Advanced Visual Interfaces
Conceptualizing Visual Uncertainty in Parallel Coordinates
Computer Graphics Forum
Visualizing clusters in parallel coordinates for visual knowledge discovery
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Multi-dimensional reduction and transfer function design using parallel coordinates
VG'10 Proceedings of the 8th IEEE/EG international conference on Volume Graphics
Selecting Coherent and Relevant Plots in Large Scatterplot Matrices
Computer Graphics Forum
The shape coordinates system in visualization space
Proceedings of the 5th International Symposium on Visual Information Communication and Interaction
Illustrative parallel coordinates
EuroVis'08 Proceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization
A screen space quality method for data abstraction
EuroVis'08 Proceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization
Visual clustering in parallel coordinates
EuroVis'08 Proceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization
Splatting the lines in parallel coordinates
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
Structural decomposition trees
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Visualizing high-dimensional structures by dimension ordering and filtering using subspace analysis
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
A Visualization Approach for Cross-level Exploration of Spatiotemporal Data
Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies
Exploring hierarchical multidimensional data with unified views of distribution and correlation
Journal of Visual Languages and Computing
Evolutionary visual exploration: evaluation with expert users
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
imMens: real-time visual querying of big data
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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Visual clutter denotes a disordered collection of graphical entities in information visualization. Clutter can obscure the structure present in the data. Even in a small dataset, clutter can make it hard for the viewer to find patterns, relationships and structure. In this paper, we define visual clutter as any aspect of the visualization that interferes with the viewerýs understanding of the data, and present the concept of clutter-based dimension reordering. Dimension order is an attribute that can significantly affect a visualizationýs expressiveness. By varying the dimension order in a display, it is possible to reduce clutter without reducing information content or modifying the data in any way. Clutter reduction is a display-dependent task. In this paper, we follow a three-step procedure for four different visualization techniques. For each display technique, first, we determine what constitutes clutter in terms of display properties; then we design a metric to measure visual clutter in this display; finally we search for an order that minimizes the clutter in a display.