DocumentCode :
119505
Title :
A multidimensional brush for scatterplot data analytics
Author :
Aupetit, Michael ; Heulot, Nicolas ; Fekete, Jean-Daniel
Author_Institution :
Qatar Comput. Res. Inst., Doha, Qatar
fYear :
2014
fDate :
25-31 Oct. 2014
Firstpage :
221
Lastpage :
222
Abstract :
Brushing is a fundamental interaction for visual analytics. A brush is usually defined as a closed region of the screen used to select data items and to highlight them in the current view and other linked views. Scatterplots are also standard ways to visualize values for two variables of a set of multidimensional data. We propose a technique to brush and interactively cluster multidimensional data navigating through a single of their scatterplot projection.
Keywords :
data analysis; data visualisation; pattern clustering; multidimensional brush; multidimensional data interactive clustering; scatterplot data analytics; scatterplot projection; visual analytics; Brushes; Data visualization; Image color analysis; Lenses; Mice; Standards; Visual analytics; Visual analytics; axis-parallel projection; brushing; multidimensional data; scatterplot;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/VAST.2014.7042500
Filename :
7042500
Link To Document :
بازگشت