The grand tour: a tool for viewing multidimensional data
SIAM Journal on Scientific and Statistical Computing
CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
A focus+context technique based on hyperbolic geometry for visualizing large hierarchies
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Towards an effective cooperation of the user and the computer for classification
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Visualizing multi-dimensional clusters, trends, and outliers using star coordinates
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
VisDB: Database Exploration Using Multidimensional Visualization
IEEE Computer Graphics and Applications
SPRINT: A Scalable Parallel Classifier for Data Mining
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Exploring N-dimensional databases
VIS '90 Proceedings of the 1st conference on Visualization '90
XmdvTool: integrating multiple methods for visualizing multivariate data
VIS '94 Proceedings of the conference on Visualization '94
PaintingClass: interactive construction, visualization and exploration of decision trees
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
Thread arcs: an email thread visualization
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
Constructive neural-network learning algorithms for pattern classification
IEEE Transactions on Neural Networks
Multifield-Graphs: An Approach to Visualizing Correlations in Multifield Scalar Data
IEEE Transactions on Visualization and Computer Graphics
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In any multidimensional visualization, some information has to be compromised when projecting multidimensional data to two- or three-dimensional space. We introduce the concepts of dimensional and object coherence and correlation to analyze and classify multidimensional visualization techniques. These concepts are used as principles for our design of Hifocon, a new multidimensional data visualization system.