Authors:
Miguel Nunes
1
;
Kresimir Matkovic
1
and
Katja Bühler
2
Affiliations:
1
VRVis Research Center, Austria
;
2
VRVis Reserch Center, Austria
Keyword(s):
Visual Analytics, Convex Hull Brush, Scatter Plots, Linked Views, Correlation.
Related
Ontology
Subjects/Areas/Topics:
Abstract Data Visualization
;
Computer Vision, Visualization and Computer Graphics
;
General Data Visualization
;
Information and Scientific Visualization
;
Visual Representation and Interaction
Abstract:
Interactive Visual Analysis has been widely used for the reason that it allows users to investigate highly
complex data in coordinated multiple views, showing different perspectives over data. In order to relate data,
multiple techniques of brushing have been introduced. This work extends the state of the art by introducing
the Convex Hull (CH) Brush, which is a new way of selecting and interpreting high dimensional data in scatter
plot (SP) views. By using a combination of brushes through linked views, the CH-Brush allows the selection
and clustering of values that are not typically defined by SP ranges, in spite of sharing similarities. In CHBrushing
is also able to visually report the existence of correlation between variables. Furthermore, we discuss
CH-Brushing sensitivity and the application of smoothness. We use synthetic data to support our rationale and
clarify the intrinsic meanings of CH-Brushing in scatter plots. We also report on the first experience on using
th
e CH-Brush in a real-world medical case.
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