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Abstract Details
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Activity Number:
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201
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Type:
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Roundtables
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Date/Time:
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Monday, August 1, 2011 : 12:30 PM to 1:50 PM
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Sponsor:
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Section on Statistical Graphics
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| Abstract - #301644 |
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Title:
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Visualizing High-Dimensional Data
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Author(s):
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Genevera I. Allen*+
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Companies:
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Baylor College of Medicine/Rice University
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Address:
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Department of Statistics, Houston, TX, 77005, USA
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Keywords:
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data visualization ;
high-dimensional data
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Abstract:
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High-dimensional data sets are common in areas of medicine, image analysis, climate studies, Internet tracking, and finance. Visualizing massive amounts of data can pose a major challenge. In this roundtable, we will discuss different approaches and recent developments for visualizing high-dimensional data sets. Particular points of discussion will include methods for finding and visualizing patterns, visually assessing the fit of a model, and letting graphics drive the data analysis.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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