Graphical Representation of Multivariate Data
Graphical Representation of Multivariate Data
Models and techniques for the visualization of labeled discrete objects
SAC '92 Proceedings of the 1992 ACM/SIGAPP symposium on Applied computing: technological challenges of the 1990's
Multivariate visualization using metric scaling
VIS '97 Proceedings of the 8th conference on Visualization '97
Proceedings of the conference on Visualization '98
Using morphing for information visualization
Proceedings of the 1998 workshop on New paradigms in information visualization and manipulation
Visualizing high dimensional datasets and multivariate relations (tutorial AM-2)
Tutorial notes of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
J3DV: a Java-based 3D database visualization tool
Software—Practice & Experience
IEEE Transactions on Visualization and Computer Graphics
Designing Pixel-Oriented Visualization Techniques: Theory and Applications
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics
VisDB: Database Exploration Using Multidimensional Visualization
IEEE Computer Graphics and Applications
HD-Eye: Visual Mining of High-Dimensional Data
IEEE Computer Graphics and Applications
Visualization Techniques for Mining Large Databases: A Comparison
IEEE Transactions on Knowledge and Data Engineering
Data visualization: ideas, methods, and problems
Informatics in education
Panel: Visualizing Multidimensional (Multivariate) Data and Relations -Perception vs. Geometry
VIS '95 Proceedings of the 6th conference on Visualization '95
Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data
VIS '95 Proceedings of the 6th conference on Visualization '95
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
A taxonomy of glyph placement strategies for multidimensional data visualization
Information Visualization
Pixel bar charts: a visualization technique for very large multi-attribute data sets
Information Visualization
VIS '91 Proceedings of the 2nd conference on Visualization '91
HyperSlice: visualization of scalar functions of many variables
VIS '93 Proceedings of the 4th conference on Visualization '93
Visual feedback in querying large databases
VIS '93 Proceedings of the 4th conference on Visualization '93
User modeling for adaptive visualization systems
VIS '94 Proceedings of the conference on Visualization '94
XmdvTool: integrating multiple methods for visualizing multivariate data
VIS '94 Proceedings of the conference on Visualization '94
Visualizing multidimensional (multivariate) data and relations
VIS '94 Proceedings of the conference on Visualization '94
Visualizing constraint-based temporal association rules
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Visual exploration of genetic likelihood space
Proceedings of the 2006 ACM symposium on Applied computing
Attribute Blocks: Visualizing Multiple Continuously Defined Attributes
IEEE Computer Graphics and Applications
Information visualization in markets - the Stock Diamond
HCI '08 Proceedings of the Third IASTED International Conference on Human Computer Interaction
Web-based interface for the visualization of microarray data
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Shape-embedded-histograms for visual data mining
VISSYM'04 Proceedings of the Sixth Joint Eurographics - IEEE TCVG conference on Visualization
VISSYM'04 Proceedings of the Sixth Joint Eurographics - IEEE TCVG conference on Visualization
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The visual representation of data from complex systems, whether databases, measured scientific data, or simulation output, holds the promise of discovering patterns in the data that will increase its management efficiency while revealing relationships invisible to numeric methods. In this paper we present a simple and flexible method of shape coding for higher dimensional data sets that allows the database operator or discipline scientist quick access to promising patterns within and among records or samples. The example used is a thirteen parameter set of solar wind, magnetosphere, and ground observation data collected hourly for twenty-one days in 1976.