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Abstract: With our increasing ability to capture or produce and to store large multivariate data, these data sets are increasing both in size and complexity. Many conventional techniques for visualizing multivariate data suffer from problems like cluttered displays since they are not designed to handle these amounts of entries. We present a novel method to overcome this problem by interactively selecting and displaying statistics derived from the data in a separate view. Changes in the display are... (Update)
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BibTeX entry: (Update)
@misc{ ericson-visual,
author = "Daniel Ericson and Jimmy Johansson and Matthew Cooper",
title = "Visual Data Analysis Using Tracked Statistical Measures within Parallel
Coordinate Representations",
url = "citeseer.ist.psu.edu/ericson05visual.html" }
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http://lib.stat.cmu.edu/datasets/
Documents on the same site (http://staffwww.itn.liu.se/~jimjo/Publications.php):
Revealing Structure within Clustered Parallel.. - Johansson, Ljung.. (2005) (Correct)
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