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» Parallel Sets: Visual Analysis of Categorical Data
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INFOVIS
2005
IEEE
13 years 10 months ago
Parallel Sets: Visual Analysis of Categorical Data
The discrete nature of categorical data makes it a particular challenge for visualization. Methods that work very well for continuous data are often hardly usable with categorical...
Fabian Bendix, Robert Kosara, Helwig Hauser
KDD
2009
ACM
174views Data Mining» more  KDD 2009»
13 years 11 months ago
Visual exploration of categorical and mixed data sets
For categorical data there does not exist any similarity measure which is as straight forward and general as the numerical distance between numerical items. Due to this it is ofte...
Sara Johansson
CVPR
2004
IEEE
13 years 8 months ago
Visual Object Categorization Using Distance-Based Discriminant Analysis
This paper formulates the problem of object categorization in the discriminant analysis framework focusing on transforming visual feature data so as to make it conform to the comp...
Serhiy Kosinov, Stéphane Marchand-Maillet, ...
SDM
2009
SIAM
217views Data Mining» more  SDM 2009»
14 years 1 months ago
A Framework for Exploring Categorical Data.
In this paper, we present a framework for categorical data analysis which allows such data sets to be explored using a rich set of techniques that are only applicable to continuou...
Shyam Boriah, Varun Chandola, Vipin Kumar
HCI
2009
13 years 2 months ago
A Tool for Analyzing Categorical Data Visually with Granular Representation
Categorical data appears in various places, and dealing with it has been a major concern in analysis fields. However, representing not only global trends but also local trends of d...
Kousuke Shiraishi, Kazuo Misue, Jiro Tanaka