This work presents a survey of the current state of the art of visualization techniques for
parallel coordinates. It covers geometric models for constructing parallel coordinates and …

In this paper, we present a systematization of techniques that use quality metrics to help in
the visual exploration of meaningful patterns in high-dimensional data. In a number of recent …

Massive simulations and arrays of sensing devices, in combination with increasing
computing resources, have generated large, complex, high-dimensional datasets used to …

The visualization community has developed to date many intuitions and understandings of
how to judge the quality of views in visualizing data. The computation of a visualization's …

Interactive visualization requires the translation of data into a screen space of limited
resolution. While currently ignored by most visualization models, this translation entails a …

Visual quality measures seek to algorithmically imitate human judgments of patterns such as
class separability, correlation, or outliers. In this paper, we propose a novel data‐driven …

We present a study aimed at understanding how human observers judge scatter plot
similarity when presented with a large set of iconic scatter plot representations. The work we …

Massive sequence view (MSV) is a classic timeline-based dynamic network visualization
approach. However, it is vulnerable to visual clutter caused by overlapping edges, thereby …

Information theory provides a theoretical framework for measuring information content for an
observed variable, and has attracted much attention from visualization researchers for its …

Uncertainty is an intrinsic part of any visual representation in visualization, no matter how
precise the input data. Existing research on uncertainty in visualization mainly focuses on …