SDM: selective dynamic manipulation of visualizations
Proceedings of the 8th annual ACM symposium on User interface and software technology
The partial-occlusion effect: utilizing semitransparency in 3D human-computer interaction
ACM Transactions on Computer-Human Interaction (TOCHI)
Excentric labeling: dynamic neighborhood labeling for data visualization
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Proceedings of the 1999 workshop on new paradigms in information visualization and manipulation in conjunction with the eighth ACM internation conference on Information and knowledge management
Self-Organizing Maps
Visualizing Data
IEEE Transactions on Visualization and Computer Graphics
30 Years of Multidimensional Multivariate Visualization
Scientific Visualization, Overviews, Methodologies, and Techniques
Parallel coordinates: a tool for visualizing multi-dimensional geometry
VIS '90 Proceedings of the 1st conference on Visualization '90
Fast self-organizing feature map algorithm
IEEE Transactions on Neural Networks
A nonlinear projection method based on Kohonen's topology preserving maps
IEEE Transactions on Neural Networks
The sampling lens: making sense of saturated visualisations
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Give chance a chance: modeling density to enhance scatter plot quality through random data sampling
Information Visualization
A Taxonomy of Clutter Reduction for Information Visualisation
IEEE Transactions on Visualization and Computer Graphics
Shape-embedded-histograms for visual data mining
VISSYM'04 Proceedings of the Sixth Joint Eurographics - IEEE TCVG 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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Large and high-dimensional data sets mapped to low-dimensional visualizations often result in perceptual ambiguities. One such ambiguity is overlap or occlusion that occurs when the number of records exceeds the number of unique locations in the presentation or when there exist two or more records that map to the same location. To lessen the affect of occlusion, non-standard visual attributes (i.e. shading and/or transparency) are applied, or such records may be remapped to a corresponding jittered location. The resulting mapping efficiently portrays the crowding of records but fails to provide the insight into the relationship between the neighboring records. We introduce a new interactive technique that intelligibly organizes overlapped points, a neural network-based Smart Jittering algorithm. We demonstrate this technique on a scatter plot, the most widely used visualization. The algorithm can be applied to other one, two, and multi-dimensional visualizations which represent data as points, including 3-dimensional scatter plots, RadViz, polar coordinates.