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2004 IEEE Symposium on Information Visualization (InfoVis 2004)
Austin, Texas
October 10-October 12
ISBN: 0-7803-8779-3
ASCII Text
x 
 
Dinoj Surendran, Stuart Levy, "Visualizing High Dimensional Datasets Using Partiview," Information Visualization, IEEE Symposium on, pp. p20, 2004 IEEE Symposium on Information Visualization (InfoVis 2004), 2004.
 
 
BibTex
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@article{ 10.1109/INFVIS.2004.76,
author = {Dinoj Surendran and Stuart Levy},
title = {Visualizing High Dimensional Datasets Using Partiview},
journal ={Information Visualization, IEEE Symposium on},
volume = {0},
year = {2004},
issn = {1522-404X},
pages = {p20},
doi = {http://doi.ieeecomputersociety.org/10.1109/INFVIS.2004.76},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Information Visualization, IEEE Symposium on
TI - Visualizing High Dimensional Datasets Using Partiview
SN - 1522-404X
SP
EP
A1 - Dinoj Surendran,
A1 - Stuart Levy,
PY - 2004
KW - dimensionality reduction
KW - glyphs
KW - high dimensional data visualization
KW - optical character recognition
KW - image retrieval
KW - information visualization
VL - 0
JA - Information Visualization, IEEE Symposium on
ER -
 
Dinoj Surendran, University of Chicago
Stuart Levy, University of Illinois at Urbana-Champaign
A standard method of visualizing high-dimensional data is reducing its dimensionality to two or three using some algorithm, and then creating a scatterplot with data represented by labelled and/or colored dots. Two problems with this approach are (1) dots do not represent data well, (2) reducing to just three dimensions does not make full use of several dimensionality-reduction algorithms. We demonstrate how Partiview can be used to solve these problems, in the context of handwriting recognition and image retrieval.
Index Terms:
dimensionality reduction, glyphs, high dimensional data visualization, optical character recognition, image retrieval, information visualization
Citation:
Dinoj Surendran, Stuart Levy, "Visualizing High Dimensional Datasets Using Partiview," ieee_infovis, pp.p20, 2004 IEEE Symposium on Information Visualization (InfoVis 2004), 2004
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