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
AbstractIn 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 user’s 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
Media
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 user’s 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},
}
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