Finding Needles in Large-Scale Multivariate Data Haystacks

Authors:
Matthew Ward
Affiliations:
Worcester Polytechnic Institute
Venue:
IEEE Computer Graphics and Applications
Year:
2004

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Abstract

In this article, the author describe issues of scale that arise at all stages of the visual exploration process and give examples of some solutions to these problems that his group at Worcester Polytechnic Institute have experimented with over the past several years. While the work has predominantly focused on nonspatial multivariate data analysis, he feels that many of the concepts and approaches described are relevant to the visualization of other types of data and information.