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Scagexplorer: Exploring scatterplots by their scagnostics
A scatter plot displays a relation between a pair of variables. Given a set of v variables, there
are v (v-1)/2 pairs of variables, and thus the same number of possible pair wise scatter plots …
are v (v-1)/2 pairs of variables, and thus the same number of possible pair wise scatter plots …
The application of visual analytics to financial stability monitoring
This paper provides an overview of visual analytics—the science of analytical reasoning
enhanced by interactive visualizations tightly coupled with data analytics software—and …
enhanced by interactive visualizations tightly coupled with data analytics software—and …
Visual analytics for concept exploration in subspaces of patient groups: making sense of complex datasets with the doctor-in-the-loop
Medical doctors and researchers in bio-medicine are increasingly confronted with complex
patient data, posing new and difficult analysis challenges. These data are often comprising …
patient data, posing new and difficult analysis challenges. These data are often comprising …
Visual Exploration of High‐Dimensional Data through Subspace Analysis and Dynamic Projections
We introduce a novel interactive framework for visualizing and exploring high‐dimensional
datasets based on subspace analysis and dynamic projections. We assume the high …
datasets based on subspace analysis and dynamic projections. We assume the high …
DimBridge: Interactive Explanation of Visual Patterns in Dimensionality Reductions with Predicate Logic
Dimensionality reduction techniques are widely used for visualizing high-dimensional data.
However, support for interpreting patterns of dimension reduction results in the context of the …
However, support for interpreting patterns of dimension reduction results in the context of the …
Comparing and exploring high-dimensional data with dimensionality reduction algorithms and matrix visualizations
We propose Compadre, a tool for visual analysis for comparing distances of high-
dimensional (HD) data and their low-dimensional projections. At the heart is a matrix …
dimensional (HD) data and their low-dimensional projections. At the heart is a matrix …
The subspace voyager: Exploring high-dimensional data along a continuum of salient 3d subspaces
Analyzing high-dimensional data and finding hidden patterns is a difficult problem and has
attracted numerous research efforts. Automated methods can be useful to some extent but …
attracted numerous research efforts. Automated methods can be useful to some extent but …
Interactive subspace cluster analysis guided by semantic attribute associations
Multivariate datasets with many variables are increasingly common in many application
areas. Most methods approach multivariate data from a singular perspective. Subspace …
areas. Most methods approach multivariate data from a singular perspective. Subspace …
Visual‐interactive Exploration of Interesting Multivariate Relations in Mixed Research Data Sets
The analysis of research data plays a key role in data‐driven areas of science. Varieties of
mixed research data sets exist and scientists aim to derive or validate hypotheses to find …
mixed research data sets exist and scientists aim to derive or validate hypotheses to find …
Dimension reconstruction for visual exploration of subspace clusters in high-dimensional data
Subspace-based analysis has increasingly become the preferred method for clustering high-
dimensional data. A visually interactive exploration of subspaces and clusters is a cyclic …
dimensional data. A visually interactive exploration of subspaces and clusters is a cyclic …