JSM 2005 - Toronto

Abstract #303715

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 256
Type: Topic Contributed
Date/Time: Tuesday, August 9, 2005 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Computing
Abstract - #303715
Title: Singular Value Decomposition and Its Visualization
Author(s): Lingsong Zhang*+ and James Marron and Haipeng Shen and Zhengyuan Zhu
Companies: University of North Carolina, Chapel Hill and University of North Carolina, Chapel Hill and University of North Carolina, Chapel Hill and University of North Carolina, Chapel Hill
Address: Department of Statitics and Operations Research, Chapel Hill, NC, 27599-3260,
Keywords: Principal Component Analysis ; Functional Data Anaysis ; Exploratory Data Analysis
Abstract:

Singular Value Decomposition is a useful tool in Functional Data Analysis. A new visualization tool, a set of SVD surface plots, is introduced to find insightful patterns in data. Insight into the plots comes from SVD movies that relate the surface plot to relevant curves. A network traffic and chemometrics dataset are used to illustrate the usefulness of the SVD surface plots and SVD movies.

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Revised March 2005