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http://www.VRVis.at/
Enhancing Interactive Visual Data Analysis
by Statistical Functionality
Jürgen PlatzerVRVis Research Center
Vienna, Austria
2 Enhancing Interactive Visual Data Analysis by Statistical Functionality
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Overview
Motivation
Statistics Library for Information Visualization
Sample Application
Conclusions
3 Enhancing Interactive Visual Data Analysis by Statistical Functionality
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Motivation Information visualization and statistical methods try to enable a
better insight into data
The same goal is reached by different means
User’s pattern recognition system
Creates interactively modifiable graphics
Allows interactive efficient information drill-down
Low dimensional features are easily detected and analyzed.
Linked views allow interactive investigation of functional coherences.
Statistical RoutinesInformation Visualization
Today’s computational possibilities
Computation of facts, summaries, models, ...
A large variety of algorithms for specific tasks (clustering, dimension reduction,...)
Based on the knowledgeable theory of data exploration
Considers multivariate relationships
Results can be easily reproduced
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Aim of this work
Put user’s input and algorithmic capabilities on the same level.
Let them interactively communicate
Show that the interactive combination of the strength of both fields makes visual data mining more efficient.
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Statistics Library for InfoViz
Find the most important statistical functions for explorative data analysis. Clustering (Hierarchical approaches, partitional
heuristics) Dimension reduction (MDS, PCA, SOM) Transformation of Dimensions (Linear vs. non-
linear) Statistical Moments (classic vs. robust) Regression
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Statistics Library for InfoViz Additionally include innovative concepts
Robustness Reduce influence of outliers Detect outliers Integration of multivariate outlier identification
Fuzzyness Data comes from real world The real world is not based on bits!-) Integrate uncertainty in clustering by fuzzy k
means
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Statistics Library for InfoViz Fuzzy k means (UVW dataset - 149 769 data items)
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Statistics Library for InfoViz
Create hooks of interaction
Allow the interactive communication between
algorithm and the user.
Immediate updates of summaries based on
selections
Translation of user action into parameter settings
Starting algorithms based on previous results
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Sample Application Interactive Clustering (Letter image recognition
data – 4640 data items, 6 groups)
10 Enhancing Interactive Visual Data Analysis by Statistical Functionality
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Sample Application Interactive Clustering (Letter image recognition
data – 4640 data items, 6 groups)
11 Enhancing Interactive Visual Data Analysis by Statistical Functionality
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Sample Application Interactive Clustering (Letter image recognition
data – 4640 data items, 6 groups)
12 Enhancing Interactive Visual Data Analysis by Statistical Functionality
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Conclusions Keyword: INTERACTIVITY
Immediate validation of results Immediate adaptation of algorithms Immediate numerical feedback of user actions
Information exchange user / algorithm = incorporation of multivariate features
Research of possible communication concepts between user and statistical algorithms
Translation of user actions into parameter settings
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Acknowledgement Peter Filzmoser Helwig Hauser Harald Piringer Austrian research program Kplus
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