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Brushing Dimensions -- A Dual Visual Analysis Model for High-dimensional Data

Cagatay Turkay, Peter Filzmoser, Helwig Hauser

ARTICLE, IEEE Transactions on Visualization and Computer Graphics, 2011

Abstract

In many application fields, data analysts have to deal with datasets that contain many expressions per item. The effective analysis of such multivariate datasets is dependent on the userís ability to understand both the intrinsic dimensionality of the dataset as well as the distribution of the dependent values with respect to the dimensions. In this paper, we propose a visualization model that enables the joint interactive visual analysis of multivariate datasets with respect to their dimensions as well as with respect to the actual data values. We describe a dual setting of visualization and interaction in items space and in dimensions space. The visualization of items is linked to the visualization of dimensions with brushing and focus+context visualization. With this approach, the user is able to jointly study the structure of the dimensions space as well as the distribution of data items with respect to the dimensions. Even though the proposed visualization model is general, we demonstrate its application in the context of a DNA microarray data analysis.

Published

IEEE Transactions on Visualization and Computer Graphics

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BibTeX

@article{turkay11brushingDimensions,
  author = {Cagatay Turkay and Peter Filzmoser and Helwig Hauser},
  title = {Brushing Dimensions -- A Dual Visual Analysis Model for 
High-dimensional Data},
  year = {2011},
  abstract = {In many application fields, data analysts have to deal with 
datasets that contain many expressions per item. The effective analysis
of such multivariate datasets is dependent on the userís ability to 
understand both the intrinsic dimensionality of the dataset as well as 
the distribution of the dependent values with respect to the dimensions. 
In this paper, we propose a visualization model that enables the joint 
interactive visual analysis of multivariate datasets with respect to 
their dimensions as well as with respect to the actual data values. We 
describe a dual setting of visualization and interaction in items space 
and in dimensions space. The visualization of items is linked to the 
visualization of dimensions with brushing and focus+context 
visualization. With this approach, the user is able to jointly study the 
structure of the dimensions space as well as the distribution of data 
items with respect to the dimensions. Even though the proposed 
visualization model is general, we demonstrate its application in the 
context of a DNA microarray data analysis.},
  journal = {IEEE Transactions on Visualization and Computer Graphics},
  volume = {17},
  number = {12},
  pages = {2591--2599},
  event = {IEEE Information Visualization Conference 2011},
  location = {Providence, RI, USA},
  URL = {http://dx.doi.org/10.1109/TVCG.2011.178},


}






 Last Modified: Jean-Paul Balabanian, 2014-04-09