A linear iteration time layout algorithm for visualising high-dimensional data
Proceedings of the 7th conference on Visualization '96
The ecological approach to text visualization
Journal of the American Society for Information Science - Speical issue on integrating mutiple overlapping metadata standards
Does organisation by similarity assist image browsing?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
PhotoMesa: a zoomable image browser using quantum treemaps and bubblemaps
Proceedings of the 14th annual ACM symposium on User interface software and technology
Evaluating a Visualization of Image Similarity as a Tool for Image Browsing
INFOVIS '99 Proceedings of the 1999 IEEE Symposium on Information Visualization
RCV1: A New Benchmark Collection for Text Categorization Research
The Journal of Machine Learning Research
A pivot-based routine for improved parent-finding in hybrid MDS
Information Visualization - Special issue of selected and extended InfoVis 03 papers
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
A Generative/Discriminative Learning Algorithm for Image Classification
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of the American Society for Information Science and Technology
Text Map Explorer: a Tool to Create and Explore Document Maps
IV '06 Proceedings of the conference on Information Visualization
Voromap: A Voronoi-based tool for visual exploration of multi-dimensional data
IV '06 Proceedings of the conference on Information Visualization
Information Visualization: Beyond the Horizon
Information Visualization: Beyond the Horizon
Visual text mining using association rules
Computers and Graphics
A Visual Text Mining approach for Systematic Reviews
ESEM '07 Proceedings of the First International Symposium on Empirical Software Engineering and Measurement
The Projection Explorer: A Flexible Tool for Projection-based Multidimensional Visualization
SIBGRAPI '07 Proceedings of the XX Brazilian Symposium on Computer Graphics and Image Processing
A Nonlinear Mapping for Data Structure Analysis
IEEE Transactions on Computers
IEEE Transactions on Visualization and Computer Graphics
Incremental board: a grid-based space for visualizing dynamic data sets
Proceedings of the 2009 ACM symposium on Applied Computing
Two algorithms for automatic page layout and possible applications
Multimedia Tools and Applications
HexBoard: Conveying Pairwise Similarity in an Incremental Visualization Space
IV '09 Proceedings of the 2009 13th International Conference Information Visualisation
Dynamic visualization of transient data streams
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
Dynamic self-organizing maps with controlled growth for knowledge discovery
IEEE Transactions on Neural Networks
A personal photograph browser for life log analysis based on location, time, and person
Proceedings of the 2011 ACM Symposium on Applied Computing
MINI: a 3D mobile image browser with multi-dimensional datasets
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Seeing beyond reading: a survey on visual text analytics
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
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In Information Visualization, adding and removing data elements can strongly impact the underlying visual space. We have developed an inherently incremental technique (incBoard) that maintains a coherent disposition of elements from a dynamic multidimensional data set on a 2D grid as the set changes. Here, we introduce a novel layout that uses pairwise similarity from grid neighbors, as defined in incBoard, to reposition elements on the visual space, free from constraints imposed by the grid. The board continues to be updated and can be displayed alongside the new space. As similar items are placed together, while dissimilar neighbors are moved apart, it supports users in the identification of clusters and subsets of related elements. Densely populated areas identified in the incSpace can be efficiently explored with the corresponding incBoard visualization, which is not susceptible to occlusion. The solution remains inherently incremental and maintains a coherent disposition of elements, even for fully renewed sets. The algorithm considers relative positions for the initial placement of elements, and raw dissimilarity to fine tune the visualization. It has low computational cost, with complexity depending only on the size of the currently viewed subset, V. Thus, a data set of size N can be sequentially displayed in O(N) time, reaching O(N 2) only if the complete set is simultaneously displayed.