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A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration
However, reasoning dynamically about the results of a dimensionality reduction is difficult.
Track Xplorer: A System for Visual Analysis of Sensor-based Motor Activity Predictions
We demonstrate how Track Xplorer helps identify early on possible systemic data errors, effectively track and compare the results of different classifiers, and reason about and pinpoint the causes of misclassifications.
Clustrophile 2: Guided Visual Clustering Analysis
Data scientists need adequate interactive tools to effectively explore and navigate the large clustering space so as to improve the effectiveness of exploratory clustering analysis.
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